Publication

323 entries « ‹ 1 of 7 › »

2021
Journal Articles
1.	西山勇毅, 柿野優衣, 中縁嗣, 野田悠加, 羽柴彩月, 山田佑亮, 佐々木航, 大越匡, 中澤仁, 森将輝, 水鳥寿思, 塩田琴美, 永野智久, 東海林祐子, 加藤貴昭感染症流行時におけるスマートフォンを用いた大学生の身体活動量分析 Journal Article In: 情報処理学会論文誌 [特集：ユビキタスコンピューティングシステム（X）] , 62 (10), pp. 1630–1643, 2021. Abstract \| BibTeX \| タグ: COVID-19, モバイルセンシング, 歩数, 行動認識, 身体活動量分析 \| Links: @article{nishiyama2021_sfcgo_ipsj, title = {感染症流行時におけるスマートフォンを用いた大学生の身体活動量分析}, author = {西山勇毅 and 柿野優衣 and 中縁嗣 and 野田悠加 and 羽柴彩月 and 山田佑亮 and 佐々木航 and 大越匡 and 中澤仁 and 森将輝 and 水鳥寿思 and 塩田琴美 and 永野智久 and 東海林祐子 and 加藤貴昭}, url = {http://id.nii.ac.jp/1001/00213189/}, doi = {10.20729/00213189}, year = {2021}, date = {2021-10-01}, journal = {情報処理学会論文誌 [特集：ユビキタスコンピューティングシステム（X）] }, volume = {62}, number = {10}, pages = {1630--1643}, abstract = { 新型コロナウイルス感染症（COVID-19）の世界的な感染拡大にともない，多くの大学ではキャンパス内での感染予防のために，キャンパスの封鎖とインターネット越しに授業を配信するオンライン授業が導入され，学生たちは自宅から授業に参加している．このような在宅中心の新しい生活様式は，感染予防効果が見込める一方で，運動不足による二次的な健康被害が懸念される．新しい生活様式における大学生の身体活動の実態，特に学生の属性や時間帯ごとの身体活動量とその内容を明らかにすることは，二次的な健康被害を予防するうえで必要不可欠である．そこで本研究では，日常生活中の身体活動データ（歩数と6種類の行動種別）を大学生が所有するスマートフォンを用いて自動収集し，大学生の身体活動量を明らかにする．身体活動データは，必修の体育授業を履修する大学1年生305名から10週間収集した．その結果，通学（7時から10時）や教室での授業，課外活動（11時から24時）の時間帯における歩数の減少と静止時間の長時間化が明らかになった．本結果は，新しい生活様式における大学生活が平日の身体活動量の低下を招く可能性を示唆する． With the spreading of the new coronavirus infection (COVID-19) worldwide, several universities have closed their campuses to prevent the spread of infection. Consequently, university classes are being held over the Internet, and students attend these classes from their homes. While the COVID-19 pandemic is expected to be prolonged, the online-centric lifestyle has raised concerns about secondary health issues caused by reduced physical activity (PA). However, the actual status of PA among college students has not yet been examined in Japan. Hence, in this study, we collected daily PA data (including the data corresponding to the number of steps taken and the data associated with six types of activities) by employing off-the-shelf smartphones and thereby analyzing the PA changes of college students. The PA data were collected over a period of ten weeks from 305 first-year college students who were attending a mandatory class of physical education at the university. The obtained results indicate that the decrease in commuting time (7 AM to 10 AM), classroom time, and extracurricular activity time (11 AM to 12 AM) has led to a decrease in PA on weekdays owing to reduced unplanned exercise opportunities. The results suggest that college life in an online-centric lifestyle may lead to a decrease in PA on weekdays.}, keywords = {COVID-19, モバイルセンシング, 歩数, 行動認識, 身体活動量分析}, pubstate = {published}, tppubtype = {article} } Close 新型コロナウイルス感染症（COVID-19）の世界的な感染拡大にともない，多くの大学ではキャンパス内での感染予防のために，キャンパスの封鎖とインターネット越しに授業を配信するオンライン授業が導入され，学生たちは自宅から授業に参加している．このような在宅中心の新しい生活様式は，感染予防効果が見込める一方で，運動不足による二次的な健康被害が懸念される．新しい生活様式における大学生の身体活動の実態，特に学生の属性や時間帯ごとの身体活動量とその内容を明らかにすることは，二次的な健康被害を予防するうえで必要不可欠である．そこで本研究では，日常生活中の身体活動データ（歩数と6種類の行動種別）を大学生が所有するスマートフォンを用いて自動収集し，大学生の身体活動量を明らかにする．身体活動データは，必修の体育授業を履修する大学1年生305名から10週間収集した．その結果，通学（7時から10時）や教室での授業，課外活動（11時から24時）の時間帯における歩数の減少と静止時間の長時間化が明らかになった．本結果は，新しい生活様式における大学生活が平日の身体活動量の低下を招く可能性を示唆する． With the spreading of the new coronavirus infection (COVID-19) worldwide, several universities have closed their campuses to prevent the spread of infection. Consequently, university classes are being held over the Internet, and students attend these classes from their homes. While the COVID-19 pandemic is expected to be prolonged, the online-centric lifestyle has raised concerns about secondary health issues caused by reduced physical activity (PA). However, the actual status of PA among college students has not yet been examined in Japan. Hence, in this study, we collected daily PA data (including the data corresponding to the number of steps taken and the data associated with six types of activities) by employing off-the-shelf smartphones and thereby analyzing the PA changes of college students. The PA data were collected over a period of ten weeks from 305 first-year college students who were attending a mandatory class of physical education at the university. The obtained results indicate that the decrease in commuting time (7 AM to 10 AM), classroom time, and extracurricular activity time (11 AM to 12 AM) has led to a decrease in PA on weekdays owing to reduced unplanned exercise opportunities. The results suggest that college life in an online-centric lifestyle may lead to a decrease in PA on weekdays. Close
2.	佐々木航, 柿野優衣, 中縁嗣, 野田悠加, 羽柴彩月, 山田佑亮, 西山勇毅, 大越匡, 中澤仁, 森将輝, 水鳥寿思, 塩田琴美, 永野智久, 東海林祐子, 加藤貴昭 SFC GO: 学生同士の繋がりを支援するオンライン体育授業サポートシステム（To appear） Journal Article In: 論文誌トランザクションデジタルプラクティス, 2021. BibTeX \| タグ: COVID-19, モバイルセンシング, 歩数, 行動認識, 身体活動量分析 @article{sasaki2021_sfcgo, title = {SFC GO: 学生同士の繋がりを支援するオンライン体育授業サポートシステム（To appear）}, author = {佐々木航 and 柿野優衣 and 中縁嗣 and 野田悠加 and 羽柴彩月 and 山田佑亮 and 西山勇毅 and 大越匡 and 中澤仁 and 森将輝 and 水鳥寿思 and 塩田琴美 and 永野智久 and 東海林祐子 and 加藤貴昭}, year = {2021}, date = {2021-10-01}, journal = {論文誌トランザクションデジタルプラクティス}, keywords = {COVID-19, モバイルセンシング, 歩数, 行動認識, 身体活動量分析}, pubstate = {bibstringtoappear}, tppubtype = {article} } Close
3.	西山勇毅, 川原圭博, 瀬崎薫 MOCHA: Bluetoothビーコンを用いた学内位置情報サービスの開発・運用 Journal Article Open Access In: 画像電子学会誌, 50 (3), pp. 459-461, 2021, (ウィズコロナ・アフターコロナに向けた安心・安全・便利なキャンパスを目指して). Abstract \| BibTeX \| タグ: Bluetoothビーコン, COVID-19, アフターコロナ, ウィズコロナ, 位置情報サービス, 学内システム, 開発・運用 \| Links: @article{iieej2021_mocha, title = {MOCHA: Bluetoothビーコンを用いた学内位置情報サービスの開発・運用}, author = {西山勇毅 and 川原圭博 and 瀬崎薫}, url = {https://www.iieej.org/journal-of-the-society/}, year = {2021}, date = {2021-08-01}, journal = {画像電子学会誌}, volume = {50}, number = {3}, pages = {459-461}, publisher = {画像電子学会}, abstract = {新型コロナウイルス感染症（COVID-19）の世界的な感染拡大により，感染症予防策の一つとして多くの大学では，オンライン授業や対面とオンライン授業を併用するハイブリッド授業を用いて教育・研究機会を提供してきた．2021年に入ってからは，多くの大学では，完全オンライン授業からハイブリッド・対面授業に移行しつつある．しかし，COVID-19 は常に変異しており，感染症の再流行も懸念されている．本格的な対面授業や研究活動の再開に向けて，学内管理施設における安心・安全の確保のためには，施設内における人々の滞在状況や人流・接触状況などを把握できることが望ましい．また，これらの情報は，アフターコロナにおいても，部屋の予約や道案内，場所に応じたリマインド機能などの DX 基盤としても活用できる．一方で，位置情報利用におけるプライバシーの確保やインセンティブ設計，開発・運用体制など実現には，技術以外にも多くの課題が存在する．}, note = {ウィズコロナ・アフターコロナに向けた安心・安全・便利なキャンパスを目指して}, keywords = {Bluetoothビーコン, COVID-19, アフターコロナ, ウィズコロナ, 位置情報サービス, 学内システム, 開発・運用}, pubstate = {published}, tppubtype = {article} } Close 新型コロナウイルス感染症（COVID-19）の世界的な感染拡大により，感染症予防策の一つとして多くの大学では，オンライン授業や対面とオンライン授業を併用するハイブリッド授業を用いて教育・研究機会を提供してきた．2021年に入ってからは，多くの大学では，完全オンライン授業からハイブリッド・対面授業に移行しつつある．しかし，COVID-19 は常に変異しており，感染症の再流行も懸念されている．本格的な対面授業や研究活動の再開に向けて，学内管理施設における安心・安全の確保のためには，施設内における人々の滞在状況や人流・接触状況などを把握できることが望ましい．また，これらの情報は，アフターコロナにおいても，部屋の予約や道案内，場所に応じたリマインド機能などの DX 基盤としても活用できる．一方で，位置情報利用におけるプライバシーの確保やインセンティブ設計，開発・運用体制など実現には，技術以外にも多くの課題が存在する． Close
4.	Wataru Sasaki, Yuuki Nishiyama, Tadashi Okoshi, Jin Nakazawa Investigating the occurrence of selfie-based emotional contagion over social network Journal Article Open Access In: Social Network Analysis and Mining, 11 , pp. 8, 2021, ISSN: 1869-5450. Abstract \| BibTeX \| タグ: Emotional contagion ·, Mobile sensing ·, Social content sharing, Social network · \| Links: @article{Sasaki2021, title = {Investigating the occurrence of selfie-based emotional contagion over social network}, author = {Wataru Sasaki and Yuuki Nishiyama and Tadashi Okoshi and Jin Nakazawa}, url = {http://link.springer.com/10.1007/s13278-020-00712-0}, doi = {10.1007/s13278-020-00712-0}, issn = {1869-5450}, year = {2021}, date = {2021-01-01}, journal = {Social Network Analysis and Mining}, volume = {11}, pages = {8}, publisher = {Springer}, abstract = { Happiness is obviously one of the most fundamental essence that affects many aspects of our lives. Past research found that happiness of one person affects that of other people. What occurs under this propagation of emotion is called “emotional contagion,” a phenomenon wherein through perception, people experience the same emotion expressed by someone when communicating with them. Although online communication is increasing due to growth of mobile computing, emotional contagion on online communication is not well studied yet. Particularly, it is not yet clear if emotional contagion among people occurs through selfie photographs posted on the social network media. We implemented “SmileWave,” the social networking system for investigating selfie-based emotional contagion. The key feature of SmileWave is detecting “smile degree” in user’s posting selfies and in reactive facial expressions when the user is viewing the posted photographs from others. Our in-the-wild user studies with 38 participants for 2 weeks revealed the occurrence of selfie-based emotional contagion over the social network, based on the results that the users’ smile degree improved (15% on average) when the user looked at posted selfie photographs. }, keywords = {Emotional contagion ·, Mobile sensing ·, Social content sharing, Social network ·}, pubstate = {published}, tppubtype = {article} } Close <p>Happiness is obviously one of the most fundamental essence that affects many aspects of our lives. Past research found that happiness of one person affects that of other people. What occurs under this propagation of emotion is called “emotional contagion,” a phenomenon wherein through perception, people experience the same emotion expressed by someone when communicating with them. Although online communication is increasing due to growth of mobile computing, emotional contagion on online communication is not well studied yet. Particularly, it is not yet clear if emotional contagion among people occurs through selfie photographs posted on the social network media. We implemented “SmileWave,” the social networking system for investigating selfie-based emotional contagion. The key feature of SmileWave is detecting “smile degree” in user’s posting selfies and in reactive facial expressions when the user is viewing the posted photographs from others. Our in-the-wild user studies with 38 participants for 2 weeks revealed the occurrence of selfie-based emotional contagion over the social network, based on the results that the users’ smile degree improved (15% on average) when the user looked at posted selfie photographs.</p> Close
5.	Sang Won Bae, Tammy Chung, Rahul Islam, Brian Suffoletto, Jiameng Du, Serim Jang, Yuuki Nishiyama, Raghu Mulukutla, Anind Dey Mobile phone sensor-based detection of subjective cannabis intoxication in young adults: A feasibility study in real-world settings Journal Article In: Drug and Alcohol Dependence, pp. 108972, 2021, ISSN: 0376-8716. Abstract \| BibTeX \| タグ: Acute intoxication, Cannabis smoking, Light gradient boosting machine model, Mobile phone sensors \| Links: @article{BAE2021108972, title = {Mobile phone sensor-based detection of subjective cannabis intoxication in young adults: A feasibility study in real-world settings}, author = {Sang Won Bae and Tammy Chung and Rahul Islam and Brian Suffoletto and Jiameng Du and Serim Jang and Yuuki Nishiyama and Raghu Mulukutla and Anind Dey}, url = {https://www.sciencedirect.com/science/article/pii/S0376871621004671 https://doi.org/10.1016/j.drugalcdep.2021.108972}, doi = {https://doi.org/10.1016/j.drugalcdep.2021.108972}, issn = {0376-8716}, year = {2021}, date = {2021-01-01}, journal = {Drug and Alcohol Dependence}, pages = {108972}, abstract = {Background Given possible impairment in psychomotor functioning related to acute cannabis intoxication, we explored whether smartphone-based sensors (e.g., accelerometer) can detect self-reported episodes of acute cannabis intoxication (subjective “high” state) in the natural environment. Methods Young adults (ages 18–25) in Pittsburgh, PA, who reported cannabis use at least twice per week, completed up to 30 days of daily data collection: phone surveys (3 times/day), self-initiated reports of cannabis use (start/stop time, subjective cannabis intoxication rating: 0–10, 10 = very high), and continuous phone sensor data. We tested multiple models with Light Gradient Boosting Machine (LGBM) in distinguishing “not intoxicated” (rating = 0) vs subjective cannabis “low-intoxication” (rating = 1–3) vs “moderate-intensive intoxication” (rating = 4–10). We tested the importance of time features (i.e., day of the week, time of day) relative to smartphone sensor data only on model performance, since time features alone might predict “routines” in cannabis intoxication. Results Young adults (N = 57; 58 % female) reported 451 cannabis use episodes, mean subjective intoxication rating = 3.77 (SD = 2.64). LGBM, the best performing classifier, had 60 % accuracy using time features to detect subjective “high” (Area Under the Curve [AUC] = 0.82). Combining smartphone sensor data with time features improved model performance: 90 % accuracy (AUC = 0.98). Important smartphone features to detect subjective cannabis intoxication included travel (GPS) and movement (accelerometer). Conclusions This proof-of-concept study indicates the feasibility of using phone sensors to detect subjective cannabis intoxication in the natural environment, with potential implications for triggering just-in-time interventions.}, keywords = {Acute intoxication, Cannabis smoking, Light gradient boosting machine model, Mobile phone sensors}, pubstate = {published}, tppubtype = {article} } Close Background Given possible impairment in psychomotor functioning related to acute cannabis intoxication, we explored whether smartphone-based sensors (e.g., accelerometer) can detect self-reported episodes of acute cannabis intoxication (subjective “high” state) in the natural environment. Methods Young adults (ages 18–25) in Pittsburgh, PA, who reported cannabis use at least twice per week, completed up to 30 days of daily data collection: phone surveys (3 times/day), self-initiated reports of cannabis use (start/stop time, subjective cannabis intoxication rating: 0–10, 10 = very high), and continuous phone sensor data. We tested multiple models with Light Gradient Boosting Machine (LGBM) in distinguishing “not intoxicated” (rating = 0) vs subjective cannabis “low-intoxication” (rating = 1–3) vs “moderate-intensive intoxication” (rating = 4–10). We tested the importance of time features (i.e., day of the week, time of day) relative to smartphone sensor data only on model performance, since time features alone might predict “routines” in cannabis intoxication. Results Young adults (N = 57; 58 % female) reported 451 cannabis use episodes, mean subjective intoxication rating = 3.77 (SD = 2.64). LGBM, the best performing classifier, had 60 % accuracy using time features to detect subjective “high” (Area Under the Curve [AUC] = 0.82). Combining smartphone sensor data with time features improved model performance: 90 % accuracy (AUC = 0.98). Important smartphone features to detect subjective cannabis intoxication included travel (GPS) and movement (accelerometer). Conclusions This proof-of-concept study indicates the feasibility of using phone sensors to detect subjective cannabis intoxication in the natural environment, with potential implications for triggering just-in-time interventions. Close
Inproceedings
6.	Hong Duc Nguyen, Shunsuke Aoki, Yuuki Nishiyama, Kaoru Sezaki A Run-time Dynamic Computation Offloading Strategy in Vehicular Edge Computing (To appear) Inproceedings In: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), IEEE, Online, 2021. BibTeX \| タグ: Connected vehicles, Edge computing, Off-loading, Vehicular networks \| Links: @inproceedings{duc_vtc2021, title = {A Run-time Dynamic Computation Offloading Strategy in Vehicular Edge Computing (To appear)}, author = {Hong Duc Nguyen and Shunsuke Aoki and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://events.vtsociety.org/vtc2021-fall/}, year = {2021}, date = {2021-09-27}, booktitle = {2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)}, publisher = {IEEE}, address = {Online}, keywords = {Connected vehicles, Edge computing, Off-loading, Vehicular networks}, pubstate = {published}, tppubtype = {inproceedings} } Close
7.	Zengyi Han, Hong Duc Nguyen, Shunsuke Aoki, Yuuki Nishiyama, Kaoru Sezaki MiMoSense: An Open Crowdsensing Platform for Micro-Mobility Inproceedings In: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), pp. 1-6, IEEE, 2021. Abstract \| BibTeX \| タグ: e-scooter, Micro-Mobility, Mobile Sensing Toolkit \| Links: @inproceedings{ieee_itsc_mimosense, title = {MiMoSense: An Open Crowdsensing Platform for Micro-Mobility}, author = {Zengyi Han and Hong Duc Nguyen and Shunsuke Aoki and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://2021.ieee-itsc.org/}, doi = {10.1109/ITSC48978.2021.9564524}, year = {2021}, date = {2021-09-19}, booktitle = {2021 IEEE International Intelligent Transportation Systems Conference (ITSC)}, pages = {1-6}, publisher = {IEEE}, abstract = {The use of micro-mobility (e.g., bicycle and scooter) and their data for urban sensing and rider assessment is becoming increasingly popular in research. However, different research topics require different sensor setups; no general data collecting tools for the micro-mobility makes the researcher who wishes to collect data has to build their own collecting system from scratch. To this end, we present MiMoSense, an open crowdsensing platform for micro-mobility. MiMoSense consists of two components: (1) MiMoSense server, which is set up on the cloud, and used to manage sensing studies and the collected data for research and sharing. (2) MiMoSense client, uses micro-mobility carrying various sensors and IoT devices to collect multiple kinds of data during traveling. As a reusable open-source software, MiMoSense shifts the researcher's focus from software development to sensing data analysis; it can help researchers quickly develop an extensible platform for collecting micro-mobility's raw sensing data and inferring traveling context. We have evaluated MiMoSense's battery consumption, message latency and discuss its use.}, keywords = {e-scooter, Micro-Mobility, Mobile Sensing Toolkit}, pubstate = {published}, tppubtype = {inproceedings} } Close The use of micro-mobility (e.g., bicycle and scooter) and their data for urban sensing and rider assessment is becoming increasingly popular in research. However, different research topics require different sensor setups; no general data collecting tools for the micro-mobility makes the researcher who wishes to collect data has to build their own collecting system from scratch. To this end, we present MiMoSense, an open crowdsensing platform for micro-mobility. MiMoSense consists of two components: (1) MiMoSense server, which is set up on the cloud, and used to manage sensing studies and the collected data for research and sharing. (2) MiMoSense client, uses micro-mobility carrying various sensors and IoT devices to collect multiple kinds of data during traveling. As a reusable open-source software, MiMoSense shifts the researcher's focus from software development to sensing data analysis; it can help researchers quickly develop an extensible platform for collecting micro-mobility's raw sensing data and inferring traveling context. We have evaluated MiMoSense's battery consumption, message latency and discuss its use. Close
8.	Hidenaga Ushijima, Shunsuke Aoki, Peng Helinyi, Yuuki Nishiyama, Kaoru Sezaki An Unsupervised Learning-based Approach for User Mobility Analysis of E-Scooter Sharing Systems Inproceedings In: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), IEEE, 2021. BibTeX \| タグ: data analysis, e-scooter \| Links: @inproceedings{itsc2021_ntf, title = {An Unsupervised Learning-based Approach for User Mobility Analysis of E-Scooter Sharing Systems}, author = {Hidenaga Ushijima and Shunsuke Aoki and Peng Helinyi and Yuuki Nishiyama and Kaoru Sezaki }, url = {https://2021.ieee-itsc.org/}, doi = {10.1109/ITSC48978.2021.9564616}, year = {2021}, date = {2021-09-19}, booktitle = {2021 IEEE International Intelligent Transportation Systems Conference (ITSC)}, journal = {2021 IEEE International Conference on Intelligent Transportation - ITSC}, publisher = {IEEE}, keywords = {data analysis, e-scooter}, pubstate = {published}, tppubtype = {inproceedings} } Close
9.	Hong Duc Nguyen, Shunsuke Aoki, Yuuki Nishiyama, Kaoru Sezaki An Online Task Offloading Strategy in Vehicular Edge Computing Inproceedings In: IEICE Society Conference 2021 , IEICE, 2021. BibTeX \| タグ: Connected vehicles, Edge computing, Off-loading, Vehicular networks \| Links: @inproceedings{ieice2021_duc, title = {An Online Task Offloading Strategy in Vehicular Edge Computing}, author = {Hong Duc Nguyen and Shunsuke Aoki and Yuuki Nishiyama and Kaoru Sezaki }, url = {http://www.ieice-taikai.jp/2021society/jpn/}, year = {2021}, date = {2021-09-14}, booktitle = {IEICE Society Conference 2021 }, publisher = {IEICE}, keywords = {Connected vehicles, Edge computing, Off-loading, Vehicular networks}, pubstate = {published}, tppubtype = {inproceedings} } Close
10.	小野翔多, 山崎託, 三好匠, 西山勇毅, 瀬崎薫移動体通信併用形MANETにおける経路要求送信回数に基づく経路構築手法 Inproceedings In: 2021 電子情報通信学会ソサイエティ大会, オンライン, 2021. BibTeX \| タグ: MANET, モバイルネットワーク, 位置情情報, 負荷分散 @inproceedings{, title = {移動体通信併用形MANETにおける経路要求送信回数に基づく経路構築手法}, author = {小野翔多 and 山崎託 and 三好匠 and 西山勇毅 and 瀬崎薫}, year = {2021}, date = {2021-09-14}, booktitle = {2021 電子情報通信学会ソサイエティ大会}, address = {オンライン}, keywords = {MANET, モバイルネットワーク, 位置情情報, 負荷分散}, pubstate = {published}, tppubtype = {inproceedings} } Close
11.	笠原有貴, 西山勇毅, 瀬崎薫スマートウォッチを用いた子育て行動の推定に向けた一検討 Inproceedings In: 計測自動制御学会計測部門スマートセンシングシステム部会, 計測自動制御学会, 2021. BibTeX \| タグ: childcare, Context-Aware, sensing, Wearable \| Links: @inproceedings{sss_kasahara, title = {スマートウォッチを用いた子育て行動の推定に向けた一検討}, author = {笠原有貴 and 西山勇毅 and 瀬崎薫}, url = {http://rcl.it.aoyama.ac.jp/member/sice-sss/20210913_program.html}, year = {2021}, date = {2021-09-13}, booktitle = {計測自動制御学会計測部門スマートセンシングシステム部会}, publisher = {計測自動制御学会}, keywords = {childcare, Context-Aware, sensing, Wearable}, pubstate = {published}, tppubtype = {inproceedings} } Close
12.	下条和暉, ⻄山勇毅, 瀬崎薫常時装着型イアラブルデバイスにおける割り込み可能タイミングの検討 Inproceedings In: CSIS DAYS 2021, pp. xx–xx, 東京大学空間情報科学研究センター, 2021. BibTeX \| タグ: UX, イヤラブル, タイミング, 割り込み @inproceedings{csis2021_shimojo, title = {常時装着型イアラブルデバイスにおける割り込み可能タイミングの検討}, author = {下条和暉 and ⻄山勇毅 and 瀬崎薫}, year = {2021}, date = {2021-09-10}, booktitle = {CSIS DAYS 2021}, pages = {xx--xx}, publisher = {東京大学空間情報科学研究センター}, keywords = {UX, イヤラブル, タイミング, 割り込み}, pubstate = {published}, tppubtype = {inproceedings} } Close
13.	小池優太郎, 西山勇毅, 瀬崎薫集約型都市におけるライドシェアサービス導入効果のシミュレーション Inproceedings In: CSIS DAYS 2021, pp. xx–xx, 東京大学空間情報科学研究センター, 2021. BibTeX \| タグ: MaaS, コンパクトシティー, シュミレーション, ライドシェア @inproceedings{csis2021_koike, title = {集約型都市におけるライドシェアサービス導入効果のシミュレーション}, author = {小池優太郎 and 西山勇毅 and 瀬崎薫}, year = {2021}, date = {2021-09-10}, booktitle = {CSIS DAYS 2021}, pages = {xx--xx}, publisher = {東京大学空間情報科学研究センター}, keywords = {MaaS, コンパクトシティー, シュミレーション, ライドシェア}, pubstate = {published}, tppubtype = {inproceedings} } Close
14.	鈴木凌斗, 村上弘晃, 西山勇毅, 川原圭博, 瀬崎薫部屋毎の滞在時間特性を考慮した頑健な滞在場所推定手法 Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–7, 情報処理学会, 2021. Abstract \| BibTeX \| タグ: Bluetoothビーコン, COVID-19, ワイブル分布, 滞在場所推定 \| Links: @inproceedings{ubi71_suzuki, title = {部屋毎の滞在時間特性を考慮した頑健な滞在場所推定手法}, author = {鈴木凌斗 and 村上弘晃 and 西山勇毅 and 川原圭博 and 瀬崎薫}, url = {http://id.nii.ac.jp/1001/00212361/}, year = {2021}, date = {2021-09-01}, booktitle = {研究報告ユビキタスコンピューティングシステム（UBI）}, volume = {2021-UBI-71}, pages = {1--7}, publisher = {情報処理学会}, abstract = {屋内での滞在情報を正確に把握することで，混雑度の推定や集客情報，人流の把握など，様々なサービスを提供できる．BluetoothビーコンやWiFiの信号強度を用いた滞在場所推定手法では，低コストに滞在推定システムを導入できる．しかしながら，受信信号強度の不安定さや隣接した部屋から漏れる信号などが原因となり，単純な信号強度のみを用いた判定では，受信環境によっては滞在場所の誤判定が頻繁に発生する．本稿では，部屋ごとの滞在時間特性の違いを考慮に入れることにより誤判定を抑制する手法を提案する．提案手法では，部屋ごとの滞在時間の分布をワイブル分布にフィッティングし，生存時間解析を適用することによりユーザの状態を推定する．信号強度の強弱のみに基づく既存手法との比較のため，正解ラベル付きのデータを収集し評価実験を行った．}, keywords = {Bluetoothビーコン, COVID-19, ワイブル分布, 滞在場所推定}, pubstate = {published}, tppubtype = {inproceedings} } Close 屋内での滞在情報を正確に把握することで，混雑度の推定や集客情報，人流の把握など，様々なサービスを提供できる．BluetoothビーコンやWiFiの信号強度を用いた滞在場所推定手法では，低コストに滞在推定システムを導入できる．しかしながら，受信信号強度の不安定さや隣接した部屋から漏れる信号などが原因となり，単純な信号強度のみを用いた判定では，受信環境によっては滞在場所の誤判定が頻繁に発生する．本稿では，部屋ごとの滞在時間特性の違いを考慮に入れることにより誤判定を抑制する手法を提案する．提案手法では，部屋ごとの滞在時間の分布をワイブル分布にフィッティングし，生存時間解析を適用することによりユーザの状態を推定する．信号強度の強弱のみに基づく既存手法との比較のため，正解ラベル付きのデータを収集し評価実験を行った． Close
15.	陳美怡, 幡井皓介, 西山勇毅, 瀬崎薫感染症予防行動を促進させるインセンティブモデルに関する一検討 Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–7, 情報処理学会, 2021, ISSN: 2188-8698. Abstract \| BibTeX \| タグ: COVID-19, ゲーミフィケーション, モバイル・ウェアラブルセンシング, 感染症予防, 行動変容促進 \| Links: @inproceedings{ubi71_chen, title = {感染症予防行動を促進させるインセンティブモデルに関する一検討}, author = {陳美怡 and 幡井皓介 and 西山勇毅 and 瀬崎薫}, url = {http://id.nii.ac.jp/1001/00212342/}, issn = {2188-8698}, year = {2021}, date = {2021-08-26}, booktitle = {研究報告ユビキタスコンピューティングシステム（UBI）}, volume = {2021-UBI-71}, number = {3}, pages = {1--7}, publisher = {情報処理学会}, abstract = {現在，新型コロナウイルス感染症（COVID-19）の感染が拡大しており，人々の生命と健康を大きく脅かしている．政府は地方自治体，保健機関は，「手洗い」や「マスクの着用」「行動記録」「外出自粛」などの感染症予防策を人々に積極的に取り続けることを推奨している.本研究では，ユーザの感染症予防行動の促進を日標とし，既存の行動記録アプリ（SelfGuard）を拡張し，感染症予防行動に対する最適なインセンティブモデルの導入を検討する.具体的には，スマートフォンとウェアラブルデバイスに搭載されたセンサを利用してユーザの感染症予防行動を認識し，行動に応じてインセンティブとして換金可能なポイントを付与する.固定・加算・減算モデルという三種類のインセンティブモデルにおいて人の行動に与える影響の違いを調査する.}, keywords = {COVID-19, ゲーミフィケーション, モバイル・ウェアラブルセンシング, 感染症予防, 行動変容促進}, pubstate = {published}, tppubtype = {inproceedings} } Close 現在，新型コロナウイルス感染症（COVID-19）の感染が拡大しており，人々の生命と健康を大きく脅かしている．政府は地方自治体，保健機関は，「手洗い」や「マスクの着用」「行動記録」「外出自粛」などの感染症予防策を人々に積極的に取り続けることを推奨している.本研究では，ユーザの感染症予防行動の促進を日標とし，既存の行動記録アプリ（SelfGuard）を拡張し，感染症予防行動に対する最適なインセンティブモデルの導入を検討する.具体的には，スマートフォンとウェアラブルデバイスに搭載されたセンサを利用してユーザの感染症予防行動を認識し，行動に応じてインセンティブとして換金可能なポイントを付与する.固定・加算・減算モデルという三種類のインセンティブモデルにおいて人の行動に与える影響の違いを調査する. Close
16.	陳美怡, 幡井皓介, 西山勇毅, 瀬崎薫感染症予防行動を促進させるインセンティブモデルの構築に向けて Inproceedings In: 第20回情報科学技術フォーラム（FIT2021）, 情報処理学会, オンライン, 2021. Abstract \| BibTeX \| タグ: COVID-19, セルフトラッキング, 位置情報, 感染症予防, 行動変容促進 \| Links: @inproceedings{fit2021_selfguard, title = {感染症予防行動を促進させるインセンティブモデルの構築に向けて}, author = {陳美怡 and 幡井皓介 and 西山勇毅 and 瀬崎薫}, url = {https://www.ipsj.or.jp/event/fit/fit2021/}, year = {2021}, date = {2021-08-25}, booktitle = {第20回情報科学技術フォーラム（FIT2021）}, publisher = {情報処理学会}, address = {オンライン}, abstract = {現在、新型コロナウイルス感染症（COVID-19）の感染が拡大しており，人々の生命と健康を大きく脅かしている．2021年4月18日時点で，COVID-19による全世界の累計死亡者数が300万人を超えたことが報告された[1]．市や政府は，感染症の感染拡大を防ぐために，自己隔離，ロックダウン，行動制限などの対策を実施している．また政府や保健機関は，人々が手洗い・マスクの着用・行動記録・外出自粛などの感染症予防策を積極的に取り続けることを推奨している．西山らの研究では，行動記録アプリ（SelfGuard）を開発し，半自動的にユーザの滞在情報・行動履歴を記録することで，感染症予防行動の促進を実現している[2]．本研究では，ユーザの感染症予防行動の促進を目標として，既存アプリ（SelfGuard）を拡張し，感染症予防行動に対する最適なインセンティブモデルの導入を検討する．具体的には，スマートフォンとウェアラブルデバイスに搭載されたセンサを利用してユーザの感染症予防行動を認識し，行動に応じてインセンティブとして換金可能なポイントを付与する．定額・加算・減算モデルという三種類のインセンティブモデルにおいて人の行動に与える影響の違いを評価する}, keywords = {COVID-19, セルフトラッキング, 位置情報, 感染症予防, 行動変容促進}, pubstate = {published}, tppubtype = {inproceedings} } Close 現在、新型コロナウイルス感染症（COVID-19）の感染が拡大しており，人々の生命と健康を大きく脅かしている．2021年4月18日時点で，COVID-19による全世界の累計死亡者数が300万人を超えたことが報告された[1]．市や政府は，感染症の感染拡大を防ぐために，自己隔離，ロックダウン，行動制限などの対策を実施している．また政府や保健機関は，人々が手洗い・マスクの着用・行動記録・外出自粛などの感染症予防策を積極的に取り続けることを推奨している．西山らの研究では，行動記録アプリ（SelfGuard）を開発し，半自動的にユーザの滞在情報・行動履歴を記録することで，感染症予防行動の促進を実現している[2]．本研究では，ユーザの感染症予防行動の促進を目標として，既存アプリ（SelfGuard）を拡張し，感染症予防行動に対する最適なインセンティブモデルの導入を検討する．具体的には，スマートフォンとウェアラブルデバイスに搭載されたセンサを利用してユーザの感染症予防行動を認識し，行動に応じてインセンティブとして換金可能なポイントを付与する．定額・加算・減算モデルという三種類のインセンティブモデルにおいて人の行動に与える影響の違いを評価する Close
17.	Soichiro Higuma, Kosuke Hatai, Yuuki Nishiyama, Kaoru Sezaki Towards Estimating UV Exposure Using GPS Signal Strength from a Carrying Smartphone Inproceedings In: 2021 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 299-304, IEEE, Irvine, CA, USA, 2021, ISBN: 2693-8340. Abstract \| BibTeX \| タグ: Estimation, GPS, Mobile sensing, UV \| Links: @inproceedings{edgedl2021-uv, title = {Towards Estimating UV Exposure Using GPS Signal Strength from a Carrying Smartphone}, author = {Soichiro Higuma and Kosuke Hatai and Yuuki Nishiyama and Kaoru Sezaki}, doi = {10.1109/SMARTCOMP52413.2021.00063}, isbn = {2693-8340}, year = {2021}, date = {2021-08-23}, booktitle = {2021 IEEE International Conference on Smart Computing (SMARTCOMP)}, pages = {299-304}, publisher = {IEEE}, address = {Irvine, CA, USA}, abstract = {Owing to lifestyle changes, urbanization, and the COVID-19 pandemic, many people spend more time indoors and tend to receive less direct sunlight than before. Although excessive or inadequate ultraviolet (UV) exposure can be harmful to our physical and mental health, moderate UV exposure is essential for vitamin D (VD) production in the body. In this study, we estimate the UV exposure using an off-the-shelf smartphone, and explore the relationship between the UV values and GPS signal strength (C/N0). The results demonstrate that a strong correlation (R 2 = 0.73) between the UV values and carrier to noise density (C/N0) even if the smartphone and UV sensor are moved. Therefore, it is possible to estimate the UV exposure to some extent from a person's location, even while carrying a smartphone.}, keywords = {Estimation, GPS, Mobile sensing, UV}, pubstate = {published}, tppubtype = {inproceedings} } Close Owing to lifestyle changes, urbanization, and the COVID-19 pandemic, many people spend more time indoors and tend to receive less direct sunlight than before. Although excessive or inadequate ultraviolet (UV) exposure can be harmful to our physical and mental health, moderate UV exposure is essential for vitamin D (VD) production in the body. In this study, we estimate the UV exposure using an off-the-shelf smartphone, and explore the relationship between the UV values and GPS signal strength (C/N0). The results demonstrate that a strong correlation (R 2 = 0.73) between the UV values and carrier to noise density (C/N0) even if the smartphone and UV sensor are moved. Therefore, it is possible to estimate the UV exposure to some extent from a person's location, even while carrying a smartphone. Close
18.	Hidenaga Ushijima, Shota Ono, Yuuki Nishiyama, Kaoru Sezaki Towards Infectious Disease Risk Assessment in Taxis using Environmental Sensors Inproceedings In: Streitz, Norbert; Konomi, Shin'ichi (Ed.): Distributed, Ambient and Pervasive Interactions, pp. 178–188, Springer International Publishing, Cham, 2021, ISBN: 978-3-030-77015-0. Abstract \| BibTeX \| タグ: CO2, COVID-19, Mobile sensing, Public Transportation \| Links: @inproceedings{taxi_co2_20201, title = {Towards Infectious Disease Risk Assessment in Taxis using Environmental Sensors}, author = {Hidenaga Ushijima and Shota Ono and Yuuki Nishiyama and Kaoru Sezaki}, editor = {Norbert Streitz and Shin'ichi Konomi}, url = {http://2021.hci.international/}, doi = {10.1007/978-3-030-77015-0_13}, isbn = {978-3-030-77015-0}, year = {2021}, date = {2021-07-07}, booktitle = {Distributed, Ambient and Pervasive Interactions}, volume = {12782}, pages = {178--188}, publisher = {Springer International Publishing}, address = {Cham}, abstract = {The spread of Coronavirus disease of 2019 (COVID-19) has reaffirmed the importance of ventilation in enclosed public spaces. Studies on air quality in public spaces such as classrooms, hospitals, and trains have been conducted in the past. However, the interior of a taxi, where an extremely small space is shared with an unspecified number of people, has not been sufficiently studied. This is a unique environment where ventilation is important. This study compared ventilation meth-ods focusing on the CO2 concentration in the cabin, and evaluated the frequency of ventilation in an actual taxi using sensing technology}, keywords = {CO2, COVID-19, Mobile sensing, Public Transportation}, pubstate = {published}, tppubtype = {inproceedings} } Close The spread of Coronavirus disease of 2019 (COVID-19) has reaffirmed the importance of ventilation in enclosed public spaces. Studies on air quality in public spaces such as classrooms, hospitals, and trains have been conducted in the past. However, the interior of a taxi, where an extremely small space is shared with an unspecified number of people, has not been sufficiently studied. This is a unique environment where ventilation is important. This study compared ventilation meth-ods focusing on the CO2 concentration in the cabin, and evaluated the frequency of ventilation in an actual taxi using sensing technology Close
19.	木口裕太, 杉山健, 小野翔多, 山崎託, 三好匠, シルバーストントーマス位置情報に基づく歩車間危険通知システムにおける負荷削減手法 Inproceedings In: 第26回電子情報通信学会東京支部学生会研究発表会, オンライン, 2021. BibTeX \| タグ: @inproceedings{, title = {位置情報に基づく歩車間危険通知システムにおける負荷削減手法}, author = {木口裕太 and 杉山健 and 小野翔多 and 山崎託 and 三好匠 and シルバーストントーマス}, year = {2021}, date = {2021-03-06}, booktitle = {第26回電子情報通信学会東京支部学生会研究発表会}, number = {52}, address = {オンライン}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close
20.	立岡俊, 山本嶺, 山崎託, 三好匠, 片田寛志, 小野翔多, 田中良明車両の移動特性に基づくセルラ通信併用形V2V情報共有手法 Inproceedings In: 第26回電子情報通信学会東京支部学生会研究発表会, オンライン, 2021. BibTeX \| タグ: @inproceedings{, title = {車両の移動特性に基づくセルラ通信併用形V2V情報共有手法}, author = {立岡俊 and 山本嶺 and 山崎託 and 三好匠 and 片田寛志 and 小野翔多 and 田中良明}, year = {2021}, date = {2021-03-06}, booktitle = {第26回電子情報通信学会東京支部学生会研究発表会}, number = {53}, address = {オンライン}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close
21.	Xuefu Dong, Zengyi Han, Yuuki Nishiyama, Kaoru Sezaki Detecting Single-Hand Riding with Integrated Accelerometer and Gyroscope of Smartphone Inproceedings In: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, pp. 19–20, Association for Computing Machinery, Virtual, USA, 2021, ISBN: 9781450384612. Abstract \| BibTeX \| タグ: Accelerometer, Gyroscope, Human Activity recognition \| Links: @inproceedings{10.1145/3460418.3479294, title = {Detecting Single-Hand Riding with Integrated Accelerometer and Gyroscope of Smartphone}, author = {Xuefu Dong and Zengyi Han and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://doi.org/10.1145/3460418.3479294}, doi = {10.1145/3460418.3479294}, isbn = {9781450384612}, year = {2021}, date = {2021-01-01}, booktitle = {Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers}, pages = {19–20}, publisher = {Association for Computing Machinery}, address = {Virtual, USA}, series = {UbiComp '21}, abstract = {Single-hand cycling poses a safety threat with the decrement of riders’ response capacity. Recognizing risky behavior by prevalently used smartphones could lead to enhanced riding safety. In this work, we propose a single-hand cycling recognition method based on motion data acquired from the three-axis accelerometer and gyroscope integrated into a handlebar-installed smartphone. We conducted a 4-person experiment. The data result demonstrates that motion data of double-hand cycling clearly distinguishes from that of single-hand, revealing the chance to materialize a robust detection tool in smartphones to enable safer biking. For future work, we prepare to redesign the experiment under more sophisticated circumstances with an improved platform, thus scaling this sensing method for real-life usage.}, keywords = {Accelerometer, Gyroscope, Human Activity recognition}, pubstate = {published}, tppubtype = {inproceedings} } Close Single-hand cycling poses a safety threat with the decrement of riders’ response capacity. Recognizing risky behavior by prevalently used smartphones could lead to enhanced riding safety. In this work, we propose a single-hand cycling recognition method based on motion data acquired from the three-axis accelerometer and gyroscope integrated into a handlebar-installed smartphone. We conducted a 4-person experiment. The data result demonstrates that motion data of double-hand cycling clearly distinguishes from that of single-hand, revealing the chance to materialize a robust detection tool in smartphones to enable safer biking. For future work, we prepare to redesign the experiment under more sophisticated circumstances with an improved platform, thus scaling this sensing method for real-life usage. Close
22.	Yuuki Nishiyama, Kaoru Sezaki Experience Sampling Tool for Repetitive Skills Training in Sports Using Voice User Interface Inproceedings In: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, pp. 54–55, Association for Computing Machinery, Virtual, USA, 2021, ISBN: 9781450384612. Abstract \| BibTeX \| タグ: context-awareness, Experience Sampling, Voice User Interface, Wearable Devices \| Links: @inproceedings{10.1145/3460418.3479283, title = {Experience Sampling Tool for Repetitive Skills Training in Sports Using Voice User Interface}, author = {Yuuki Nishiyama and Kaoru Sezaki}, url = {https://doi.org/10.1145/3460418.3479283}, doi = {10.1145/3460418.3479283}, isbn = {9781450384612}, year = {2021}, date = {2021-01-01}, booktitle = {Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers}, pages = {54–55}, publisher = {Association for Computing Machinery}, address = {Virtual, USA}, series = {UbiComp '21}, abstract = {Repetitive skills training (RST) is a commonly used method for improving skills. Although wearable devices and existing context-aware technologies allow us to easily detect objective data during RST, subjective data have not been collected effectively, even though both objective and subjective data are important for RST. In this paper, we propose and implement a prototype system, called MiQ, to collect subjective data with minimum workload during RST for sports. MiQ allows us to record subjective data hands-free via a voice user interface (VUI). We also discuss the future scope of the proposed prototype system.}, keywords = {context-awareness, Experience Sampling, Voice User Interface, Wearable Devices}, pubstate = {published}, tppubtype = {inproceedings} } Close Repetitive skills training (RST) is a commonly used method for improving skills. Although wearable devices and existing context-aware technologies allow us to easily detect objective data during RST, subjective data have not been collected effectively, even though both objective and subjective data are important for RST. In this paper, we propose and implement a prototype system, called MiQ, to collect subjective data with minimum workload during RST for sports. MiQ allows us to record subjective data hands-free via a voice user interface (VUI). We also discuss the future scope of the proposed prototype system. Close
23.	Zengyi Han, Xuefu Dong, Yuuki Nishiyama, Kaoru Sezaki HeadSense: A Head Movement Detecting System for Micro-Mobility Riders Inproceedings In: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, pp. 26–27, Association for Computing Machinery, Virtual, USA, 2021, ISBN: 9781450384612. Abstract \| BibTeX \| タグ: Head Movement Detection, Human Activity recognition, Wearable \| Links: @inproceedings{10.1145/3460418.3479282, title = {HeadSense: A Head Movement Detecting System for Micro-Mobility Riders}, author = {Zengyi Han and Xuefu Dong and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://doi.org/10.1145/3460418.3479282}, doi = {10.1145/3460418.3479282}, isbn = {9781450384612}, year = {2021}, date = {2021-01-01}, booktitle = {Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers}, pages = {26–27}, publisher = {Association for Computing Machinery}, address = {Virtual, USA}, series = {UbiComp '21}, abstract = {Head movement for traffic visual searching, is one of the important factors in traffic safety. In this paper, we present the design, implementation, and preliminary evaluation of the HeadSense, a helmet device that detects the head movement of micro-mobility rider. HeadSense is capable of generating data streams using the embedded 9-axis inertial measurement unit (IMU) sensor. After the process of segmentation and classification algorithm, HeadSense can automatically detect an individual’s head movement sequence and visual search episodes, across the rider’s entire riding journey. Experiments with 5 participants show that our system achieves 94.7% for per-second level detection and 80.59% F1-score for per-episode level detection.}, keywords = {Head Movement Detection, Human Activity recognition, Wearable}, pubstate = {published}, tppubtype = {inproceedings} } Close Head movement for traffic visual searching, is one of the important factors in traffic safety. In this paper, we present the design, implementation, and preliminary evaluation of the HeadSense, a helmet device that detects the head movement of micro-mobility rider. HeadSense is capable of generating data streams using the embedded 9-axis inertial measurement unit (IMU) sensor. After the process of segmentation and classification algorithm, HeadSense can automatically detect an individual’s head movement sequence and visual search episodes, across the rider’s entire riding journey. Experiments with 5 participants show that our system achieves 94.7% for per-second level detection and 80.59% F1-score for per-episode level detection. Close
Masters Theses
24.	牛島秀暢マイクロモビリティの移動パターン分類と再配置スケジューリング Masters Thesis 東京大学大学院新領域創成科学研究科社会文化環境学専攻, 2021. BibTeX \| タグ: Micromobility, タクシー, 再配置スケジューリング, 移動パターン分析 @mastersthesis{master_thesis_ushijima, title = {マイクロモビリティの移動パターン分類と再配置スケジューリング}, author = {牛島秀暢}, year = {2021}, date = {2021-09-30}, school = {東京大学大学院新領域創成科学研究科社会文化環境学専攻}, keywords = {Micromobility, タクシー, 再配置スケジューリング, 移動パターン分析}, pubstate = {published}, tppubtype = {mastersthesis} } Close
25.	陳美怡感染症予防行動を促進させるインセンティブモデルの構築 Masters Thesis 東京大学大学院新領域創成科学研究科社会文化環境学専攻, 2021. BibTeX \| タグ: COVID-19, ゲーミフィケーション, モバイル・ウェアラブルセンシング, 行動変容促進 @mastersthesis{master_thesis_chen, title = {感染症予防行動を促進させるインセンティブモデルの構築}, author = {陳美怡}, year = {2021}, date = {2021-09-30}, school = {東京大学大学院新領域創成科学研究科社会文化環境学専攻}, keywords = {COVID-19, ゲーミフィケーション, モバイル・ウェアラブルセンシング, 行動変容促進}, pubstate = {published}, tppubtype = {mastersthesis} } Close
26.	Nguyen Hong Duc Online Task Offloading Strategy in Vehicular Edge Computing Masters Thesis Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo, 2021. BibTeX \| タグ: Connected vehicles, Edge computing, Off-loading, Vehicular networks @mastersthesis{master_thesis_duc, title = {Online Task Offloading Strategy in Vehicular Edge Computing}, author = {Nguyen Hong Duc}, year = {2021}, date = {2021-09-30}, school = {Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo}, keywords = {Connected vehicles, Edge computing, Off-loading, Vehicular networks}, pubstate = {published}, tppubtype = {mastersthesis} } Close
Miscellaneous
27.	西山勇毅, 柿野優衣, 中縁嗣, 野田悠加, 羽柴彩月, 山田佑亮, 佐々木航, 大越匡, 中澤仁, 森将輝, 水鳥寿思, 塩田琴美, 永野智久, 東海林祐子, 加藤貴昭感染症流行時におけるスマートフォンを用いた大学生の身体活動量分析 Miscellaneous Open AccessSelf Archive 2021. Abstract \| BibTeX \| タグ: COVID-19, モバイルセンシング, 歩数, 行動認識, 身体活動量分析 \| Links: @misc{nishiyama2021_sfcgo, title = {感染症流行時におけるスマートフォンを用いた大学生の身体活動量分析}, author = {西山勇毅 and 柿野優衣 and 中縁嗣 and 野田悠加 and 羽柴彩月 and 山田佑亮 and 佐々木航 and 大越匡 and 中澤仁 and 森将輝 and 水鳥寿思 and 塩田琴美 and 永野智久 and 東海林祐子 and 加藤貴昭}, url = {https://arxiv.org/abs/2103.06515}, year = {2021}, date = {2021-03-01}, abstract = {新型コロナウイルス感染症（COVID-19）の世界的な感染拡大に伴い，多くの大学ではキャンパス内での感染予防のために，キャンパスの封鎖とインターネット越しに授業を配信するオンライン授業が導入され，学生達は自宅から授業に参加している．オンライン中心の新しい生活様式は，感染リスクを低減できる一方で，運動不足による二次的な健康被害を引き起こす可能性が危惧されている．学生の健康状態の把握は大学にとって重要であるが，新しい生活様式における大学生の身体活動量の実態は明らかになっていない．そこで本研究では，日常生活中の身体活動データ（歩数と 6 種類の行動種別）を大学生が所有するスマートフォンを用いて自動収集し，大学生の身体活動量の変化を明らかにする．身体活動データは，大学の必修授業（体育）を履修する大学 1 年生 305 名から 10 週間収集した．その結果，COVID-19 流行下での平均歩数（3522.5 歩）は流行前の平均歩数（6474.87 歩）より 45.6%低下し，特に平日の歩数は COVID19 流行前と比べる 51.9%低下していることが明らかになった．また時刻別では，通学・授業中の時間帯において歩数の低下と静止時間の増加が見られ，通学や教室移動に伴う日常生活中の無意識の運動機会の減少が，平日の身体活動量の低下を招いている可能性が示唆された．}, keywords = {COVID-19, モバイルセンシング, 歩数, 行動認識, 身体活動量分析}, pubstate = {published}, tppubtype = {misc} } Close 新型コロナウイルス感染症（COVID-19）の世界的な感染拡大に伴い，多くの大学ではキャンパス内での感染予防のために，キャンパスの封鎖とインターネット越しに授業を配信するオンライン授業が導入され，学生達は自宅から授業に参加している．オンライン中心の新しい生活様式は，感染リスクを低減できる一方で，運動不足による二次的な健康被害を引き起こす可能性が危惧されている．学生の健康状態の把握は大学にとって重要であるが，新しい生活様式における大学生の身体活動量の実態は明らかになっていない．そこで本研究では，日常生活中の身体活動データ（歩数と 6 種類の行動種別）を大学生が所有するスマートフォンを用いて自動収集し，大学生の身体活動量の変化を明らかにする．身体活動データは，大学の必修授業（体育）を履修する大学 1 年生 305 名から 10 週間収集した．その結果，COVID-19 流行下での平均歩数（3522.5 歩）は流行前の平均歩数（6474.87 歩）より 45.6%低下し，特に平日の歩数は COVID19 流行前と比べる 51.9%低下していることが明らかになった．また時刻別では，通学・授業中の時間帯において歩数の低下と静止時間の増加が見られ，通学や教室移動に伴う日常生活中の無意識の運動機会の減少が，平日の身体活動量の低下を招いている可能性が示唆された． Close
2020
Journal Articles
28.	Elina Kuosmanen, Florian Wolling, Julio Vega, Valerii Kan, Yuuki Nishiyama, Simon Harper, Kristof Van Laerhoven, Simo Hosio, Denzil Ferreira Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness Journal Article Open Access In: JMIR Mhealth Uhealth, 8 (11), pp. e21543, 2020, ISSN: 2291-5222. Abstract \| BibTeX \| タグ: hand tremor, mobile health, Parkinson disease, smartphone \| Links: @article{info:doi/10.2196/21543, title = {Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness}, author = {Elina Kuosmanen and Florian Wolling and Julio Vega and Valerii Kan and Yuuki Nishiyama and Simon Harper and Kristof Van Laerhoven and Simo Hosio and Denzil Ferreira}, url = {http://www.ncbi.nlm.nih.gov/pubmed/33242017}, doi = {10.2196/21543}, issn = {2291-5222}, year = {2020}, date = {2020-11-26}, journal = {JMIR Mhealth Uhealth}, volume = {8}, number = {11}, pages = {e21543}, abstract = {Background: Hand tremor typically has a negative impact on a person's ability to complete many common daily activities. Previous research has investigated how to quantify hand tremor with smartphones and wearable sensors, mainly under controlled data collection conditions. Solutions for daily real-life settings remain largely underexplored. Objective: Our objective was to monitor and assess hand tremor severity in patients with Parkinson disease (PD), and to better understand the effects of PD medications in a naturalistic environment. Methods: Using the Welch method, we generated periodograms of accelerometer data and computed signal features to compare patients with varying degrees of PD symptoms. Results: We introduced and empirically evaluated the tremor intensity parameter (TIP), an accelerometer-based metric to quantify hand tremor severity in PD using smartphones. There was a statistically significant correlation between the TIP and self-assessed Unified Parkinson Disease Rating Scale (UPDRS) II tremor scores (Kendall rank correlation test: z=30.521, P<.001, $tau$=0.5367379; n=11). An analysis of the ``before'' and ``after'' medication intake conditions identified a significant difference in accelerometer signal characteristics among participants with different levels of rigidity and bradykinesia (Wilcoxon rank sum test, P<.05). Conclusions: Our work demonstrates the potential use of smartphone inertial sensors as a systematic symptom severity assessment mechanism to monitor PD symptoms and to assess medication effectiveness remotely. Our smartphone-based monitoring app may also be relevant for other conditions where hand tremor is a prevalent symptom.}, keywords = {hand tremor, mobile health, Parkinson disease, smartphone}, pubstate = {published}, tppubtype = {article} } Close Background: Hand tremor typically has a negative impact on a person's ability to complete many common daily activities. Previous research has investigated how to quantify hand tremor with smartphones and wearable sensors, mainly under controlled data collection conditions. Solutions for daily real-life settings remain largely underexplored. Objective: Our objective was to monitor and assess hand tremor severity in patients with Parkinson disease (PD), and to better understand the effects of PD medications in a naturalistic environment. Methods: Using the Welch method, we generated periodograms of accelerometer data and computed signal features to compare patients with varying degrees of PD symptoms. Results: We introduced and empirically evaluated the tremor intensity parameter (TIP), an accelerometer-based metric to quantify hand tremor severity in PD using smartphones. There was a statistically significant correlation between the TIP and self-assessed Unified Parkinson Disease Rating Scale (UPDRS) II tremor scores (Kendall rank correlation test: z=30.521, P<.001, $tau$=0.5367379; n=11). An analysis of the ``before'' and ``after'' medication intake conditions identified a significant difference in accelerometer signal characteristics among participants with different levels of rigidity and bradykinesia (Wilcoxon rank sum test, P<.05). Conclusions: Our work demonstrates the potential use of smartphone inertial sensors as a systematic symptom severity assessment mechanism to monitor PD symptoms and to assess medication effectiveness remotely. Our smartphone-based monitoring app may also be relevant for other conditions where hand tremor is a prevalent symptom. Close
29.	Tammy Chung, Sang Won Bae, Eun-Young Mun, Brian Suffoletto, Yuuki Nishiyama, Serim Jang, Anind K Dey Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study Journal Article Open Access In: JMIR Mhealth Uhealth, 8 (3), pp. e16240, 2020, ISSN: 2291-5222. Abstract \| BibTeX \| タグ: cannabis, cell phone, cognition, marijuana, memory, short-term \| Links: @article{info:doi/10.2196/16240, title = {Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study}, author = {Tammy Chung and Sang Won Bae and Eun-Young Mun and Brian Suffoletto and Yuuki Nishiyama and Serim Jang and Anind K Dey}, url = {http://www.ncbi.nlm.nih.gov/pubmed/32154789}, doi = {10.2196/16240}, issn = {2291-5222}, year = {2020}, date = {2020-03-10}, journal = {JMIR Mhealth Uhealth}, volume = {8}, number = {3}, pages = {e16240}, abstract = {Background: Mobile assessment of the effects of acute marijuana on cognitive functioning in the natural environment would provide an ecologically valid measure of the impacts of marijuana use on daily functioning. Objective: This study aimed to examine the association of reported acute subjective marijuana high (rated 0-10) with performance on 3 mobile cognitive tasks measuring visuospatial working memory (Flowers task), attentional bias to marijuana-related cues (marijuana Stroop), and information processing and psychomotor speed (digit symbol substitution task [DSST]). The effect of distraction as a moderator of the association between the rating of subjective marijuana high and task performance (ie, reaction time and number of correct responses) was explored. Methods: Young adults (aged 18-25 years; 37/60, 62% female) who reported marijuana use at least twice per week were recruited through advertisements and a participant registry in Pittsburgh, Pennsylvania. Phone surveys and mobile cognitive tasks were delivered 3 times per day and were self-initiated when starting marijuana use. Completion of phone surveys triggered the delivery of cognitive tasks. Participants completed up to 30 days of daily data collection. Multilevel models examined associations between ratings of subjective marijuana high (rated 0-10) and performance on each cognitive task (reaction time and number of correct responses) and tested the number of distractions (rated 0-4) during the mobile task session as a moderator of the association between ratings of subjective marijuana high and task performance. Results: Participants provided 2703 data points, representing 451 reports (451/2703, 16.7%) of marijuana use. Consistent with slight impairing effects of acute marijuana use, an increase in the average rating of subjective marijuana high was associated with slower average reaction time on all 3 tasks---Flowers (B=2.29; SE 0.86; P=.008), marijuana Stroop (B=2.74; SE 1.09; P=.01), and DSST (B=3.08; SE 1.41; P=.03)---and with fewer correct responses for Flowers (B=−0.03; SE 0.01; P=.01) and DSST (B=−0.18; SE 0.07; P=.01), but not marijuana Stroop (P=.45). Results for distraction as a moderator were statistically significant only for certain cognitive tasks and outcomes. Specifically, as hypothesized, a person's average number of reported distractions moderated the association of the average rating of subjective marijuana high (over and above a session's rating) with the reaction time for marijuana Stroop (B=−52.93; SE 19.38; P=.006) and DSST (B=−109.72; SE 42.50; P=.01) and the number of correct responses for marijuana Stroop (B=−0.22; SE 0.10; P=.02) and DSST (B=4.62; SE 1.81; P=.01). Conclusions: Young adults' performance on mobile cognitive tasks in the natural environment was associated with ratings of acute subjective marijuana high, consistent with slight decreases in cognitive functioning. Monitoring cognitive functioning in real time in the natural environment holds promise for providing immediate feedback to guide personal decision making.}, keywords = {cannabis, cell phone, cognition, marijuana, memory, short-term}, pubstate = {published}, tppubtype = {article} } Close Background: Mobile assessment of the effects of acute marijuana on cognitive functioning in the natural environment would provide an ecologically valid measure of the impacts of marijuana use on daily functioning. Objective: This study aimed to examine the association of reported acute subjective marijuana high (rated 0-10) with performance on 3 mobile cognitive tasks measuring visuospatial working memory (Flowers task), attentional bias to marijuana-related cues (marijuana Stroop), and information processing and psychomotor speed (digit symbol substitution task [DSST]). The effect of distraction as a moderator of the association between the rating of subjective marijuana high and task performance (ie, reaction time and number of correct responses) was explored. Methods: Young adults (aged 18-25 years; 37/60, 62% female) who reported marijuana use at least twice per week were recruited through advertisements and a participant registry in Pittsburgh, Pennsylvania. Phone surveys and mobile cognitive tasks were delivered 3 times per day and were self-initiated when starting marijuana use. Completion of phone surveys triggered the delivery of cognitive tasks. Participants completed up to 30 days of daily data collection. Multilevel models examined associations between ratings of subjective marijuana high (rated 0-10) and performance on each cognitive task (reaction time and number of correct responses) and tested the number of distractions (rated 0-4) during the mobile task session as a moderator of the association between ratings of subjective marijuana high and task performance. Results: Participants provided 2703 data points, representing 451 reports (451/2703, 16.7%) of marijuana use. Consistent with slight impairing effects of acute marijuana use, an increase in the average rating of subjective marijuana high was associated with slower average reaction time on all 3 tasks---Flowers (B=2.29; SE 0.86; P=.008), marijuana Stroop (B=2.74; SE 1.09; P=.01), and DSST (B=3.08; SE 1.41; P=.03)---and with fewer correct responses for Flowers (B=−0.03; SE 0.01; P=.01) and DSST (B=−0.18; SE 0.07; P=.01), but not marijuana Stroop (P=.45). Results for distraction as a moderator were statistically significant only for certain cognitive tasks and outcomes. Specifically, as hypothesized, a person's average number of reported distractions moderated the association of the average rating of subjective marijuana high (over and above a session's rating) with the reaction time for marijuana Stroop (B=−52.93; SE 19.38; P=.006) and DSST (B=−109.72; SE 42.50; P=.01) and the number of correct responses for marijuana Stroop (B=−0.22; SE 0.10; P=.02) and DSST (B=4.62; SE 1.81; P=.01). Conclusions: Young adults' performance on mobile cognitive tasks in the natural environment was associated with ratings of acute subjective marijuana high, consistent with slight decreases in cognitive functioning. Monitoring cognitive functioning in real time in the natural environment holds promise for providing immediate feedback to guide personal decision making. Close
30.	Shota Ono, Taku Yamazaki, Takumi Miyoshi, Kaoru Sezaki Mobile-assisted ad hoc networking architecture based on location information Journal Article Open Access In: IEICE Communications Express, 9 (3), pp. 94-99, 2020. Abstract \| BibTeX \| タグ: Ad hoc network, device-to-device communication, location information, mobile network, relay range \| Links: @article{ShotaOno20202019XBL0152, title = {Mobile-assisted ad hoc networking architecture based on location information}, author = {Shota Ono and Taku Yamazaki and Takumi Miyoshi and Kaoru Sezaki}, doi = {10.1587/comex.2019XBL0152}, year = {2020}, date = {2020-01-01}, journal = {IEICE Communications Express}, volume = {9}, number = {3}, pages = {94-99}, abstract = {This letter proposes a mobile-assisted ad hoc networking architecture based on location information. The proposed architecture comprises the location layer and ad hoc layer. The location layer performs to manage the locations of nodes and to determine the area of ad hoc network virtually based on locations via mobile networks. The ad hoc layer performs to establish an actual route based on the virtual area and to send data along the established route via local networks. The proposed architecture achieves the significant reduction of the unnecessary packets and the improvement of the packet arrival rate.}, keywords = {Ad hoc network, device-to-device communication, location information, mobile network, relay range}, pubstate = {published}, tppubtype = {article} } Close This letter proposes a mobile-assisted ad hoc networking architecture based on location information. The proposed architecture comprises the location layer and ad hoc layer. The location layer performs to manage the locations of nodes and to determine the area of ad hoc network virtually based on locations via mobile networks. The ad hoc layer performs to establish an actual route based on the virtual area and to send data along the established route via local networks. The proposed architecture achieves the significant reduction of the unnecessary packets and the improvement of the packet arrival rate. Close
Inproceedings
31.	山下陸, 西山勇毅, 小松寛弥, 川原圭博 BLEビーコンを用いた屋内位置推定システムの設計と実装 Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–7, 情報処理学会, 2020, ISBN: 2188-8698. Abstract \| BibTeX \| タグ: COVID-19, 屋内位置情報, 接触検知 \| Links: @inproceedings{weko_208650_1, title = {BLEビーコンを用いた屋内位置推定システムの設計と実装}, author = {山下陸 and 西山勇毅 and 小松寛弥 and 川原圭博}, url = {http://id.nii.ac.jp/1001/00208548/ https://mocha.t.u-tokyo.ac.jp/}, isbn = {2188-8698}, year = {2020}, date = {2020-12-01}, booktitle = {研究報告ユビキタスコンピューティングシステム（UBI）}, volume = {2020-UBI-68}, number = {8}, pages = {1--7}, publisher = {情報処理学会}, abstract = {現在，我々は大学キャンパスでの COVID-19 感染対策，そして，ポストコロナ時代における望ましい位置情報インフラの構築を目指している．ユーザーのプライバシーに配慮し，講義で活用する教室や図書館等の 181 のスペースに 200 の Bluetooth ビーコンを設置した．ビーコンが発する ID をスマートフォンで検知し，ユーザの部屋への入退室を判定する．ユーザの位置情報はサーバーサイドに集約された後，ユーザの同意に基づいたルールで，ニーズに応じた位置情報の開示が可能になっている．設置したビーコンをもとにキャンパス内で位置情報の取得予備実験を行ったところ，室内を隔てる壁の材質によっては電波の減衰率が大きく異なることや，大学の施設管理データベースの登録情報が実態を反映していないことなどが明るみになった．本稿では，MOCHA と名付けた本システムの設計と実装，システムアーキテクチャや利用規約を制定する際のポイントについて共有する． We are currently working to build the desirable location infrastructure on university campus to combat COVID-19 and also in the post-corona era. In consideration of the user privacy, we have installed 200 Bluetooth beacons in 181 spaces, including the libraries and the classrooms used for the lectures. The IDs emitted by the beacons are detected by a smartphone to determine the user's entering and exiting the room. After the user's location information is collected on the server side, rules based on the user's consent enable the location information to be disclosed according to their needs. A preliminary experiment of the location information acquisition in the campus using the beacons revealed that the attenuation rate of radio waves differs greatly depending on the material of the wall, and the information registered in the facility management database of the university does not reflect the reality. In this paper, we share the design and implementation of our system, named MOCHA, and the key points for establishing the system architecture and terms of use.}, keywords = {COVID-19, 屋内位置情報, 接触検知}, pubstate = {published}, tppubtype = {inproceedings} } Close 現在，我々は大学キャンパスでの COVID-19 感染対策，そして，ポストコロナ時代における望ましい位置情報インフラの構築を目指している．ユーザーのプライバシーに配慮し，講義で活用する教室や図書館等の 181 のスペースに 200 の Bluetooth ビーコンを設置した．ビーコンが発する ID をスマートフォンで検知し，ユーザの部屋への入退室を判定する．ユーザの位置情報はサーバーサイドに集約された後，ユーザの同意に基づいたルールで，ニーズに応じた位置情報の開示が可能になっている．設置したビーコンをもとにキャンパス内で位置情報の取得予備実験を行ったところ，室内を隔てる壁の材質によっては電波の減衰率が大きく異なることや，大学の施設管理データベースの登録情報が実態を反映していないことなどが明るみになった．本稿では，MOCHA と名付けた本システムの設計と実装，システムアーキテクチャや利用規約を制定する際のポイントについて共有する． We are currently working to build the desirable location infrastructure on university campus to combat COVID-19 and also in the post-corona era. In consideration of the user privacy, we have installed 200 Bluetooth beacons in 181 spaces, including the libraries and the classrooms used for the lectures. The IDs emitted by the beacons are detected by a smartphone to determine the user's entering and exiting the room. After the user's location information is collected on the server side, rules based on the user's consent enable the location information to be disclosed according to their needs. A preliminary experiment of the location information acquisition in the campus using the beacons revealed that the attenuation rate of radio waves differs greatly depending on the material of the wall, and the information registered in the facility management database of the university does not reflect the reality. In this paper, we share the design and implementation of our system, named MOCHA, and the key points for establishing the system architecture and terms of use. Close
32.	日隈壮一郎, 西山勇毅, 瀬崎薫スマートフォンのGPS信号受信強度を用いた紫外線量推定手法に関する研究 Inproceedings In: CSIS DAYS 2020, Center for Spatial Information Science, The University of Tokyo, オンライン, 2020. BibTeX \| タグ: GPS信号受信状態, モバイルセンシング, 紫外線量推定 \| Links: @inproceedings{日隈壮一郎2020b, title = {スマートフォンのGPS信号受信強度を用いた紫外線量推定手法に関する研究}, author = {日隈壮一郎 and 西山勇毅 and 瀬崎薫}, url = {https://www.csis.u-tokyo.ac.jp/blog/research/csis-days-2020-program/}, year = {2020}, date = {2020-11-21}, booktitle = {CSIS DAYS 2020}, publisher = {Center for Spatial Information Science, The University of Tokyo}, address = {オンライン}, keywords = {GPS信号受信状態, モバイルセンシング, 紫外線量推定}, pubstate = {published}, tppubtype = {inproceedings} } Close
33.	牛島秀暢, 西山勇毅, 小野翔多, 瀬崎薫環境センサを用いたタクシー車室内における感染症リスク評価に関する一検討 Inproceedings Award In: 研究報告高度交通システムとスマートコミュニティ（ITS）, pp. 1–6, 情報処理学会, 2020, ISSN: 2188-8965. Abstract \| BibTeX \| タグ: 二酸化炭素, 感染症対策, 車内環境センシング \| Links: @inproceedings{mbl_co2, title = {環境センサを用いたタクシー車室内における感染症リスク評価に関する一検討}, author = {牛島秀暢 and 西山勇毅 and 小野翔多 and 瀬崎薫}, url = {http://id.nii.ac.jp/1001/00207785/}, issn = {2188-8965}, year = {2020}, date = {2020-11-17}, booktitle = {研究報告高度交通システムとスマートコミュニティ（ITS）}, volume = {2020-ITS-83}, number = {10}, pages = {1--6}, publisher = {情報処理学会}, abstract = {COVID-19の感染拡大により，公共空間や飲食業などの対面サービスにおいて，持続的かつ安全で低コストな感染症への対策が求められている．これまでは，密閉，密集，密接の三密と呼ばれる状態が感染リスクがあるとされ，換気の徹底などが推奨されてきたが，その効果を定量的に計測する事は極めて困難である．本研究では，タクシーという密閉空間の状態を複数の環境センサを用いて計測し，感染症リスクを定量的に分析する．}, keywords = {二酸化炭素, 感染症対策, 車内環境センシング}, pubstate = {published}, tppubtype = {inproceedings} } Close COVID-19の感染拡大により，公共空間や飲食業などの対面サービスにおいて，持続的かつ安全で低コストな感染症への対策が求められている．これまでは，密閉，密集，密接の三密と呼ばれる状態が感染リスクがあるとされ，換気の徹底などが推奨されてきたが，その効果を定量的に計測する事は極めて困難である．本研究では，タクシーという密閉空間の状態を複数の環境センサを用いて計測し，感染症リスクを定量的に分析する． Close
34.	Yuuki Nishiyama, Takuro Yonezawa, Kaoru Sezaki SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic Inproceedings In: the 18th ACM Conference on Embedded Networked Sensor Systems (SenSys '20), COVID-19 Pandemic Response, Virtual Event, Japan , pp. 780–781, Association for Computing Machinery, New York, NY, USA, 2020, ISBN: 978-1-4503-7590-0/20/11. Abstract \| BibTeX \| タグ: COVID-19, GPS, Mobile sensing, Self-Tracking \| Links: @inproceedings{sensys2020_selfguard, title = {SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic}, author = {Yuuki Nishiyama and Takuro Yonezawa and Kaoru Sezaki}, url = {https://youtu.be/KYmvCHl_U7g}, doi = {10.1145/3384419.3430592}, isbn = {978-1-4503-7590-0/20/11}, year = {2020}, date = {2020-11-16}, booktitle = {the 18th ACM Conference on Embedded Networked Sensor Systems (SenSys '20), COVID-19 Pandemic Response, Virtual Event, Japan }, number = {2}, pages = {780–781}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, abstract = {Contagious diseases like COVID-19 spread periodically and threaten our lives. Self-protection, such as washing hands, wearing a mask, and staying home, are simple and practical solutions to safeguard against these diseases. Most governments and health departments recommend that people maintain self-protection. Although continuous self-protection effectively prevents the spread of infection, only the intent to self-protect is unsustainable in the long term. In this study, we design, develop, and deploy an application to track users' daily activities semi-automatically and enhance self-protection behavior using mobile sensing and gamified feedback techniques. Currently, more than 324 people have installed the app via AppStore, and 52 users have shared their activity data to our research group.}, keywords = {COVID-19, GPS, Mobile sensing, Self-Tracking}, pubstate = {published}, tppubtype = {inproceedings} } Close Contagious diseases like COVID-19 spread periodically and threaten our lives. Self-protection, such as washing hands, wearing a mask, and staying home, are simple and practical solutions to safeguard against these diseases. Most governments and health departments recommend that people maintain self-protection. Although continuous self-protection effectively prevents the spread of infection, only the intent to self-protect is unsustainable in the long term. In this study, we design, develop, and deploy an application to track users' daily activities semi-automatically and enhance self-protection behavior using mobile sensing and gamified feedback techniques. Currently, more than 324 people have installed the app via AppStore, and 52 users have shared their activity data to our research group. Close
35.	Zengyi Han Context Aware Photo Protection for In-SituSharing Inproceedings In: MobileHCI '20: Proceedings of the 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (Doctoral Consortium), Virtual Event, Germany, 2020. Abstract \| BibTeX \| タグ: Context-Aware, Face Recognition, In-situ Photo Sharing, smartphone @inproceedings{han2020_mobilehci, title = {Context Aware Photo Protection for In-SituSharing}, author = {Zengyi Han}, year = {2020}, date = {2020-10-05}, booktitle = {MobileHCI '20: Proceedings of the 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (Doctoral Consortium), Virtual Event, Germany}, abstract = {People nowadays are getting used to using mobile phones for daily photography, and sharing these precious moments online or in-situ with their friends. However, there is a potential risk of privacy leakage during the in-situ photo-sharing process. To address this risk, we proposeOASIS, a cOntext Aware photoprotection for in-SItuSharing behavior: using the front camera to tell different viewers, OASIScustomize viewer’s photo gallery seamlessly between different viewers according to the context of the photo. In this way, we can provide viewers with a good sharing experience while protecting the privacy of the owner. The paper is presented at MobileHCI 2020 Doctoral Consortium.}, keywords = {Context-Aware, Face Recognition, In-situ Photo Sharing, smartphone}, pubstate = {published}, tppubtype = {inproceedings} } Close People nowadays are getting used to using mobile phones for daily photography, and sharing these precious moments online or in-situ with their friends. However, there is a potential risk of privacy leakage during the in-situ photo-sharing process. To address this risk, we proposeOASIS, a cOntext Aware photoprotection for in-SItuSharing behavior: using the front camera to tell different viewers, OASIScustomize viewer’s photo gallery seamlessly between different viewers according to the context of the photo. In this way, we can provide viewers with a good sharing experience while protecting the privacy of the owner. The paper is presented at MobileHCI 2020 Doctoral Consortium. Close
36.	Shota Ono, Fuga Kikuchi, Taku Yamazaki, Takumi Miyoshi, Kaoru Sezaki An Information Sharing Method Using P2P and V2V Communications in VANET Inproceedings Open Access In: IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW 2020), 2020. Abstract \| BibTeX \| タグ: P2P, V2V, VANET \| Links: @inproceedings{ono_iccetw2020, title = {An Information Sharing Method Using P2P and V2V Communications in VANET}, author = {Shota Ono and Fuga Kikuchi and Taku Yamazaki and Takumi Miyoshi and Kaoru Sezaki}, url = {https://edas.info/showManuscript.php?m=1570630496&ext=pdf&random=1117285026&type=stamped http://www.icce-tw.org/index.html}, year = {2020}, date = {2020-09-28}, booktitle = {IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW 2020)}, abstract = {For realizing information sharing among vehicles, various methods based on P2P (peer-to-peer) and V2V (vehicle-to-vehicle) communications have been proposed. However, in a case of using a P2P-based method, the network load of a source vehicle will increase due to the increase of receivers. On the other hand, in a case of using a V2V-based method, vehicles cannot communicate with each other if vehicles are far apart. In this paper, we propose an information sharing method among vehicles based on V2V and P2P communications.}, keywords = {P2P, V2V, VANET}, pubstate = {published}, tppubtype = {inproceedings} } Close For realizing information sharing among vehicles, various methods based on P2P (peer-to-peer) and V2V (vehicle-to-vehicle) communications have been proposed. However, in a case of using a P2P-based method, the network load of a source vehicle will increase due to the increase of receivers. On the other hand, in a case of using a V2V-based method, vehicles cannot communicate with each other if vehicles are far apart. In this paper, we propose an information sharing method among vehicles based on V2V and P2P communications. Close
37.	日隈壮一郎, 西山勇毅, 瀬崎薫 GPS信号受信状態を用いた紫外線量推定手法の検討 Inproceedings In: 2020 IEICE Society Conference, The Institute of Electronics, Information and Communication Engineers, オンライン, 2020. BibTeX \| タグ: GPS信号受信状態, モバイルセンシング, 紫外線量推定 @inproceedings{日隈壮一郎2020, title = {GPS信号受信状態を用いた紫外線量推定手法の検討}, author = {日隈壮一郎 and 西山勇毅 and 瀬崎薫}, year = {2020}, date = {2020-09-16}, booktitle = {2020 IEICE Society Conference}, publisher = {The Institute of Electronics, Information and Communication Engineers}, address = {オンライン}, keywords = {GPS信号受信状態, モバイルセンシング, 紫外線量推定}, pubstate = {published}, tppubtype = {inproceedings} } Close
38.	Soichiro Higuma, Yuuki Nishiyama, Kaoru Sezaki Towards Estimating UV Light Intensity Using GPS Signal Strength Inproceedings In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, pp. 684–687, Association for Computing Machinery, Virtual Event, Mexico, 2020, ISBN: 9781450380768. Abstract \| BibTeX \| タグ: Estimation, GPS Signal Reception, Mobile sensing, UV \| Links: @inproceedings{10.1145/3410530.3414434, title = {Towards Estimating UV Light Intensity Using GPS Signal Strength}, author = {Soichiro Higuma and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://doi.org/10.1145/3410530.3414434 https://youtu.be/qsuyUv47M6E https://github.com/sezakilab/M5Stack_UVLogger}, doi = {10.1145/3410530.3414434}, isbn = {9781450380768}, year = {2020}, date = {2020-09-12}, booktitle = {Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers}, pages = {684–687}, publisher = {Association for Computing Machinery}, address = {Virtual Event, Mexico}, series = {UbiComp-ISWC '20}, abstract = {Due to recent urbanization and changing lifestyles, many people have been spending more time indoors. Hence, they tend to receive less direct sunlight than ever before. Although excessive/inadequate UV exposure can be harmful to human health leading to illnesses such as skin cancer, spots, or depression, moderate UV exposure is necessary for vitamin D production in the body. Therefore, estimating UV exposure with a commonly used device is useful for maintaining a healthy lifestyle from excessive/inadequate UV exposure in our daily life. In this study, we aim to estimate UV exposure, and to this end, we used the GPS signal strength (C/No) collected from an off-the-shelf smartphone for exploring the relationship between UV values and C/No. We conducted an experiment and measured UV values and C/No from 10 places in two different situations. From the results, we observed a significant correlation (R2 more than 0.87) between UV values and C/No when all the data were divided by the sun/shade condition. This result supports the fact that UV values potentially can be inferred from C/No to some degree if the sun/shade condition can be detected.}, keywords = {Estimation, GPS Signal Reception, Mobile sensing, UV}, pubstate = {published}, tppubtype = {inproceedings} } Close Due to recent urbanization and changing lifestyles, many people have been spending more time indoors. Hence, they tend to receive less direct sunlight than ever before. Although excessive/inadequate UV exposure can be harmful to human health leading to illnesses such as skin cancer, spots, or depression, moderate UV exposure is necessary for vitamin D production in the body. Therefore, estimating UV exposure with a commonly used device is useful for maintaining a healthy lifestyle from excessive/inadequate UV exposure in our daily life. In this study, we aim to estimate UV exposure, and to this end, we used the GPS signal strength (C/No) collected from an off-the-shelf smartphone for exploring the relationship between UV values and C/No. We conducted an experiment and measured UV values and C/No from 10 places in two different situations. From the results, we observed a significant correlation (R2 more than 0.87) between UV values and C/No when all the data were divided by the sun/shade condition. This result supports the fact that UV values potentially can be inferred from C/No to some degree if the sun/shade condition can be detected. Close
39.	Yuuki Nishiyama, Denzil Ferreira, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa, Anind K Dey, Kaoru Sezaki Using IOS for Inconspicuous Data Collection: A Real-World Assessment Inproceedings In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, pp. 261–266, Association for Computing Machinery, Virtual Event, Mexico, 2020, ISBN: 9781450380768. Abstract \| BibTeX \| タグ: Effective Data Collection, iOS, Mobile Crowd sensing, Mobile Sensing Toolkit, Real-world Assessment \| Links: @inproceedings{10.1145/3410530.3414369, title = {Using IOS for Inconspicuous Data Collection: A Real-World Assessment}, author = {Yuuki Nishiyama and Denzil Ferreira and Wataru Sasaki and Tadashi Okoshi and Jin Nakazawa and Anind K Dey and Kaoru Sezaki}, url = {https://doi.org/10.1145/3410530.3414369 https://github.com/tetujin/AWAREFramework-iOS}, doi = {10.1145/3410530.3414369}, isbn = {9781450380768}, year = {2020}, date = {2020-09-12}, booktitle = {Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers}, pages = {261–266}, publisher = {Association for Computing Machinery}, address = {Virtual Event, Mexico}, series = {UbiComp-ISWC '20}, abstract = {Mobile Crowd Sensing (MCS) is a method for collecting multiple sensor data from distributed mobile devices for understanding social and behavioral phenomena. The method requires collecting the sensor data 24/7, ideally inconspicuously to minimize bias. Although several MCS tools for collecting the sensor data from an off-the-shelf smartphone are proposed and evaluated under controlled conditions as a benchmark, the performance in a practical sensing study condition is scarce, especially on iOS. In this paper, we assess the data collection quality of AWARE iOS, installed on off-the-shelf iOS smartphones with 9 participants for a week. Our analysis shows that more than 97% of sensor data, provided by hardware sensors (i.e., accelerometer, location, and pedometer sensor), is successfully collected in real-world conditions, unless a user explicitly quits our data collection application.}, keywords = {Effective Data Collection, iOS, Mobile Crowd sensing, Mobile Sensing Toolkit, Real-world Assessment}, pubstate = {published}, tppubtype = {inproceedings} } Close Mobile Crowd Sensing (MCS) is a method for collecting multiple sensor data from distributed mobile devices for understanding social and behavioral phenomena. The method requires collecting the sensor data 24/7, ideally inconspicuously to minimize bias. Although several MCS tools for collecting the sensor data from an off-the-shelf smartphone are proposed and evaluated under controlled conditions as a benchmark, the performance in a practical sensing study condition is scarce, especially on iOS. In this paper, we assess the data collection quality of AWARE iOS, installed on off-the-shelf iOS smartphones with 9 participants for a week. Our analysis shows that more than 97% of sensor data, provided by hardware sensors (i.e., accelerometer, location, and pedometer sensor), is successfully collected in real-world conditions, unless a user explicitly quits our data collection application. Close
40.	Yuuki Nishiyama, Denzil Ferreira, Yusaku Eigen, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa, Anind K Dey, Kaoru Sezaki iOS Crowd-Sensing Won't Hurt a Bit!: AWARE Framework and Sustainable Study Guideline for iOS Platform Inproceedings Self Archive In: Streitz, Norbert; Konomi, Shiníchi (Ed.): Distributed, Ambient and Pervasive Interactions, pp. 223–243, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-50344-4. Abstract \| BibTeX \| タグ: Data Collection Rate, Guideline, iOS, Mobile Sensing Framework, Sustainable Sensing \| Links: @inproceedings{10.1007/978-3-030-50344-4_17, title = {iOS Crowd-Sensing Won't Hurt a Bit!: AWARE Framework and Sustainable Study Guideline for iOS Platform}, author = {Yuuki Nishiyama and Denzil Ferreira and Yusaku Eigen and Wataru Sasaki and Tadashi Okoshi and Jin Nakazawa and Anind K Dey and Kaoru Sezaki}, editor = {Norbert Streitz and Shiníchi Konomi}, url = {https://www.yuukinishiyama.com/2020/07/25/hcii2020/ https://www.yuukinishiyama.com/wp-content/uploads/2020/07/AWARE-iOS_HCII2020_preprint.pdf https://github.com/tetujin/aware-client-ios-v2 https://github.com/tetujin/AWAREFramework-iOS}, doi = {10.1007/978-3-030-50344-4_17}, isbn = {978-3-030-50344-4}, year = {2020}, date = {2020-07-10}, booktitle = {Distributed, Ambient and Pervasive Interactions}, pages = {223--243}, publisher = {Springer International Publishing}, address = {Cham}, abstract = {The latest smartphones have advanced sensors that allow us to recognize human and environmental contexts. They operate primarily on Android and iOS, and can be used as sensing platforms for research in various fields owing to their ubiquity in society. Mobile sensing frameworks help to manage these sensors easily. However, Android and iOS are constructed following different policies, requiring developers and researchers to consider framework differences during research planning, application development, and data collection phases to ensure sustainable data collection. In particular, iOS imposes strict regulations on background data collection and application distribution. In this study, we design, implement, and evaluate a mobile sensing framework for iOS, namely AWARE-iOS, which is an iOS version of the AWARE Framework. Our performance evaluations and case studies measured over a duration of 288 h on four types of devices, show the risks of continuous data collection in the background and explore optimal practical sensor settings for improved data collection. Based on these results, we develop guidelines for sustainable data collection on iOS.}, keywords = {Data Collection Rate, Guideline, iOS, Mobile Sensing Framework, Sustainable Sensing}, pubstate = {published}, tppubtype = {inproceedings} } Close The latest smartphones have advanced sensors that allow us to recognize human and environmental contexts. They operate primarily on Android and iOS, and can be used as sensing platforms for research in various fields owing to their ubiquity in society. Mobile sensing frameworks help to manage these sensors easily. However, Android and iOS are constructed following different policies, requiring developers and researchers to consider framework differences during research planning, application development, and data collection phases to ensure sustainable data collection. In particular, iOS imposes strict regulations on background data collection and application distribution. In this study, we design, implement, and evaluate a mobile sensing framework for iOS, namely AWARE-iOS, which is an iOS version of the AWARE Framework. Our performance evaluations and case studies measured over a duration of 288 h on four types of devices, show the risks of continuous data collection in the background and explore optimal practical sensor settings for improved data collection. Based on these results, we develop guidelines for sustainable data collection on iOS. Close
41.	牛島秀暢, 青木俊介, 西山勇毅, 瀬崎薫 Non-Negative Tensor Factrization を用いたドックレス型マイクロモビリティの利用形態分類手法の検討 Inproceedings AwardSelf Archive In: 研究報告高度交通システムとスマートコミュニティ（ITS）, pp. 1–8, 情報処理学会, 2020, ISSN: 2188-8965. Abstract \| BibTeX \| タグ: e-scooter, ITS, Micromobility, Mobility-as-a-Service, 都市コンピューティング \| Links: @inproceedings{ushijima2020_its, title = {Non-Negative Tensor Factrization を用いたドックレス型マイクロモビリティの利用形態分類手法の検討}, author = {牛島秀暢 and 青木俊介 and 西山勇毅 and 瀬崎薫}, url = {http://id.nii.ac.jp/1001/00204626/ https://www.mcl.iis.u-tokyo.ac.jp/wp-content/uploads/2020/08/ITS81.pdf }, issn = {2188-8965}, year = {2020}, date = {2020-05-21}, booktitle = {研究報告高度交通システムとスマートコミュニティ（ITS）}, journal = {研究報告モバイルコンピューティングとパーベイシブシステム (MBL)}, volume = {2020-ITS-81}, number = {1}, pages = {1--8}, publisher = {情報処理学会}, abstract = {交通やインフラ，スマートフォンなどから得られる様々なデータを統合的に利活用し，都市計画の継続的な改善に役立てるという都市コンピューティングが注目されている．都市コンピューティングは少子高齢化と過疎化が進行する日本においても公共インフラを有効活用し都市を維持するためにも有効である．限られた公共インフラを活用するためには人々の移動目的を推定し，交通リソースを最適化する必要があるが，既存の IC カードなどの交通データでは推定粒度に限界があった．こうした状況の中，特定の返却場所を持たないドックレス型のマイクロモビリティが急速に普及している．ドックレス型マイクロモビリティは平均移動距離が 500m 程度と短く，直接目的地に向かうため，より詳細な移動行動が検出可能である．本研究では，マイクロモビリティが都市空間で離散的に分布する点に着目した．そして，細かく単発的な移動行動を大域的に分析することで潜在的な移動パターンがあることを，Non-Negative Tensor Factrization と呼ばれる教師なし学習を用いることで明らかにした．}, keywords = {e-scooter, ITS, Micromobility, Mobility-as-a-Service, 都市コンピューティング}, pubstate = {published}, tppubtype = {inproceedings} } Close 交通やインフラ，スマートフォンなどから得られる様々なデータを統合的に利活用し，都市計画の継続的な改善に役立てるという都市コンピューティングが注目されている．都市コンピューティングは少子高齢化と過疎化が進行する日本においても公共インフラを有効活用し都市を維持するためにも有効である．限られた公共インフラを活用するためには人々の移動目的を推定し，交通リソースを最適化する必要があるが，既存の IC カードなどの交通データでは推定粒度に限界があった．こうした状況の中，特定の返却場所を持たないドックレス型のマイクロモビリティが急速に普及している．ドックレス型マイクロモビリティは平均移動距離が 500m 程度と短く，直接目的地に向かうため，より詳細な移動行動が検出可能である．本研究では，マイクロモビリティが都市空間で離散的に分布する点に着目した．そして，細かく単発的な移動行動を大域的に分析することで潜在的な移動パターンがあることを，Non-Negative Tensor Factrization と呼ばれる教師なし学習を用いることで明らかにした． Close
42.	日隈壮一郎, 西山勇毅, 瀬崎薫 GPS 信号受信状態を用いた紫外線量推定手法の検討 Inproceedings Award In: 研究報告ユビキタスコンピューティングシステム (UBI), pp. 1–7, 情報処理学会, 2020, ISSN: 2188-8698. Abstract \| BibTeX \| タグ: GPS信号受信状態, モバイルセンシング, 紫外線量推定 \| Links: @inproceedings{higuma2020_ubi66, title = {GPS 信号受信状態を用いた紫外線量推定手法の検討}, author = {日隈壮一郎 and 西山勇毅 and 瀬崎薫}, url = {http://id.nii.ac.jp/1001/00204523/}, issn = {2188-8698}, year = {2020}, date = {2020-05-18}, booktitle = {研究報告ユビキタスコンピューティングシステム (UBI)}, journal = {研究報告ユビキタスコンピューティングシステム (UBI)}, volume = {2020-UBI-66}, number = {5}, pages = {1--7}, publisher = {情報処理学会}, abstract = {近年の都市構造の変容と急激なライフスタイルの変化に伴い，人間が屋内で過ごす時間は長時間化し，逆に屋外で直射日光を浴びる時間は年々短くなっている．過度な紫外線の被曝は皮膚癌やシワ，シミの発生可能性を高めるが，一方で適度な紫外線被曝は体内でのビタミン D の生成に必要不可欠である．また，基本的に野菜に含まれていないビタミン D の不足は，カルシウム不足や低カルシウム血症，骨の軟化やうつ病などに繋がる危険性があり，長期的な健康管理において，紫外線被曝量の管理は重要である．しかしながら，紫外線センサを常に携帯することはユーザの負担が大きく，長期的な利用には日常的に計測または推定可能な手法が必要である．そこで本研究では，スマートフォンに搭載された GPS モジュールを用いて，GPS 信号の受信状態から紫外線量を推定する手法の検討を行う．}, keywords = {GPS信号受信状態, モバイルセンシング, 紫外線量推定}, pubstate = {published}, tppubtype = {inproceedings} } Close 近年の都市構造の変容と急激なライフスタイルの変化に伴い，人間が屋内で過ごす時間は長時間化し，逆に屋外で直射日光を浴びる時間は年々短くなっている．過度な紫外線の被曝は皮膚癌やシワ，シミの発生可能性を高めるが，一方で適度な紫外線被曝は体内でのビタミン D の生成に必要不可欠である．また，基本的に野菜に含まれていないビタミン D の不足は，カルシウム不足や低カルシウム血症，骨の軟化やうつ病などに繋がる危険性があり，長期的な健康管理において，紫外線被曝量の管理は重要である．しかしながら，紫外線センサを常に携帯することはユーザの負担が大きく，長期的な利用には日常的に計測または推定可能な手法が必要である．そこで本研究では，スマートフォンに搭載された GPS モジュールを用いて，GPS 信号の受信状態から紫外線量を推定する手法の検討を行う． Close
43.	小野翔多, 山崎託, 三好匠, 瀬崎薫 MANETにおけるノードの通信負荷に基づく経路構築手法 Inproceedings In: 電子情報通信学会電子情報通信学会総合大会, 広島大学東広島キャンパス, 2020. Abstract \| BibTeX \| タグ: AODV, MANET, 通信負荷 \| Links: @inproceedings{, title = {MANETにおけるノードの通信負荷に基づく経路構築手法}, author = {小野翔多 and 山崎託 and 三好匠 and 瀬崎薫}, url = {http://www.ieice-taikai.jp/2020society/jpn/}, year = {2020}, date = {2020-03-20}, booktitle = {電子情報通信学会電子情報通信学会総合大会}, address = {広島大学東広島キャンパス}, abstract = {MANET（Mobile ad-hoc network）は，無線通信を用いることで自律分散的なネットワークを構築することが可能である．しかし，経路構築時に経路要求をフラッディングするため，通信資源を消費する．この問題に対して，位置情報に基づき仮想的な領域を作成し，不必要な制御メッセージを抑制する手法が提案されている．しかし，多くの近傍ノードを持つノードが経路に選択されやすく，ノードの通信負荷に偏りが生じる．本稿では，各ノードの通信負荷を分散するための経路構築手法を提案する．}, keywords = {AODV, MANET, 通信負荷}, pubstate = {published}, tppubtype = {inproceedings} } Close MANET（Mobile ad-hoc network）は，無線通信を用いることで自律分散的なネットワークを構築することが可能である．しかし，経路構築時に経路要求をフラッディングするため，通信資源を消費する．この問題に対して，位置情報に基づき仮想的な領域を作成し，不必要な制御メッセージを抑制する手法が提案されている．しかし，多くの近傍ノードを持つノードが経路に選択されやすく，ノードの通信負荷に偏りが生じる．本稿では，各ノードの通信負荷を分散するための経路構築手法を提案する． Close
44.	菊地風雅, 山崎託, 三好匠, 小野翔多 P2P通信とV2V通信を併用した車車間情報配信手法 Inproceedings In: 電子情報通信学会電子情報通信学会総合大会, 広島大学東広島キャンパス, 2020. Abstract \| BibTeX \| タグ: P2P, V2V, VANET, 車車間通信 \| Links: @inproceedings{, title = {P2P通信とV2V通信を併用した車車間情報配信手法}, author = {菊地風雅 and 山崎託 and 三好匠 and 小野翔多}, url = {http://www.ieice-taikai.jp/2020society/jpn/}, year = {2020}, date = {2020-03-19}, booktitle = {電子情報通信学会電子情報通信学会総合大会}, address = {広島大学東広島キャンパス}, abstract = {車両間で通信する方法には，直接通信を用いた車車間通信（V2V通信）と移動体通信網を用いたピアツーピア通信（P2P通信）がある．V2V通信では，マルチホップ通信を用いることで車車間アドホックネットワーク（VANET）を構築し，情報を共有する．しかし，車両間の距離が遠い場合は情報が不達となる． P2P通信では，移動体通信網を用いて車両間の距離に依らずに直接情報を共有することができる．しかし，接続する車両数が多くなると移動体通信網や配信元車両への負荷が増大する．本研究では，分断された車両群に対応するため，V2V通信とP2P通信を併用した情報配信手法を提案する．}, keywords = {P2P, V2V, VANET, 車車間通信}, pubstate = {published}, tppubtype = {inproceedings} } Close 車両間で通信する方法には，直接通信を用いた車車間通信（V2V通信）と移動体通信網を用いたピアツーピア通信（P2P通信）がある．V2V通信では，マルチホップ通信を用いることで車車間アドホックネットワーク（VANET）を構築し，情報を共有する．しかし，車両間の距離が遠い場合は情報が不達となる． P2P通信では，移動体通信網を用いて車両間の距離に依らずに直接情報を共有することができる．しかし，接続する車両数が多くなると移動体通信網や配信元車両への負荷が増大する．本研究では，分断された車両群に対応するため，V2V通信とP2P通信を併用した情報配信手法を提案する． Close
45.	神村潤, 西山勇毅, 瀬崎薫スマートフォンセンサを用いた気分情報を基にした都市空間評価手法に向けて Inproceedings In: 電子情報通信学会電子情報通信学会総合大会, 広島大学東広島キャンパス, 2020. BibTeX \| タグ: \| Links: @inproceedings{kamimura2020_2020Soc, title = {スマートフォンセンサを用いた気分情報を基にした都市空間評価手法に向けて}, author = {神村潤 and 西山勇毅 and 瀬崎薫}, url = {http://www.ieice-taikai.jp/2020society/jpn/}, year = {2020}, date = {2020-03-17}, booktitle = {電子情報通信学会電子情報通信学会総合大会}, address = {広島大学東広島キャンパス}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close
46.	西山勇毅, 佐々木航, 栄元優作, 本木悠介, 大越匡, 中澤仁, 瀬崎薫 In-the-Wild実験におけるiOS用モバイルセンシングフレームワークの性能評価 Inproceedings In: 電子情報通信学会技術研究報告: 信学技報, pp. 127-132, ライフインテリジェンスとオフィス情報システム(LOIS) 電子情報通信学会, 大濱信泉記念館（石垣島） , 2020, ISSN: 0913-5685. Abstract \| BibTeX \| タグ: AWARE, In-the-Wildセンシング, iOS, ガイドライン, センシング基盤, フレームワーク, モバイルセンシング \| Links: @inproceedings{Nishiyama2020_LOIS, title = {In-the-Wild実験におけるiOS用モバイルセンシングフレームワークの性能評価}, author = {西山勇毅 and 佐々木航 and 栄元優作 and 本木悠介 and 大越匡 and 中澤仁 and 瀬崎薫}, url = {https://www.ieice.org/ken/index/ieice-techrep-119-477.html}, issn = {0913-5685}, year = {2020}, date = {2020-03-11}, booktitle = {電子情報通信学会技術研究報告: 信学技報}, volume = {119}, number = {477}, pages = {127-132}, publisher = {電子情報通信学会}, address = {大濱信泉記念館（石垣島） }, organization = {ライフインテリジェンスとオフィス情報システム(LOIS)}, abstract = {ユーザの携帯端末より収集したセンサデータを用いて，人や集団・空間の状態を理解するモバイルセンシングは，情報科学だけでなく社会科学や公衆衛生など様々な分野で利用されている．モバイルセンシングを容易に実現するツールは多数提案されており，それらは研究室内実験など「コントール環境」での性能評価は行われている．しかし，実際の被験者にシステムを配布し実験を行う「In-the-Wild環境」における性能評価は行われていない．特にAndroidに比べiOSは制約が多く，制約を無視した設定はデータ収集率の低下を招くため，適切な設定を明らかにする必要がある．そこで本研究では，iOS用モバイルセンシングフレームワーク（{it AWARE-iOS}）を用いて，1週間のIn-the-Wild環境実験を10人の被験者を対象に行い，その際の{it AWARE-iOS}のデータ収集性能及びバッテリ消費を評価した．その結果，最も収集率が高い可能性のある設定（ESM＋SPN）では，ユーザが{it AWARE-iOS}を強制終了しない限り95%以上のデータを収集可能であり，平均11.39時間の起動が可能であることが明らかになった． }, keywords = {AWARE, In-the-Wildセンシング, iOS, ガイドライン, センシング基盤, フレームワーク, モバイルセンシング}, pubstate = {published}, tppubtype = {inproceedings} } Close ユーザの携帯端末より収集したセンサデータを用いて，人や集団・空間の状態を理解するモバイルセンシングは，情報科学だけでなく社会科学や公衆衛生など様々な分野で利用されている．モバイルセンシングを容易に実現するツールは多数提案されており，それらは研究室内実験など「コントール環境」での性能評価は行われている．しかし，実際の被験者にシステムを配布し実験を行う「In-the-Wild環境」における性能評価は行われていない．特にAndroidに比べiOSは制約が多く，制約を無視した設定はデータ収集率の低下を招くため，適切な設定を明らかにする必要がある．そこで本研究では，iOS用モバイルセンシングフレームワーク（{it AWARE-iOS}）を用いて，1週間のIn-the-Wild環境実験を10人の被験者を対象に行い，その際の{it AWARE-iOS}のデータ収集性能及びバッテリ消費を評価した．その結果，最も収集率が高い可能性のある設定（ESM＋SPN）では，ユーザが{it AWARE-iOS}を強制終了しない限り95%以上のデータを収集可能であり，平均11.39時間の起動が可能であることが明らかになった． Close
47.	Chenwei Song, Masaki Ito, Yuuki Nishiyama, Kaoru Sezaki Mobile Sensing of Pedestrian Mobility and its Assessment Inproceedings In: IEICE Tech. Rep., pp. 121–126, Life Intelligence and Office Information Systems (LOIS) IEICE Technical Committee, 2020, ISBN: 0913-5685. Abstract \| BibTeX \| タグ: Bluetooth, Crowd detection, Human mobility \| Links: @inproceedings{Chenwei2020_LOIS, title = {Mobile Sensing of Pedestrian Mobility and its Assessment}, author = {Chenwei Song and Masaki Ito and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://www.ieice.org/ken/paper/20200312h1vo/eng/}, isbn = {0913-5685}, year = {2020}, date = {2020-03-04}, booktitle = {IEICE Tech. Rep.}, volume = {119}, number = {477}, pages = {121--126}, publisher = {IEICE Technical Committee}, organization = {Life Intelligence and Office Information Systems (LOIS)}, abstract = {We propose a client-server system that provides crowd detection and mobility information. Our proposed system has the advantages of low cost and location flexibility without pre-deployed, as long as there is a sufficient number of users involved. We conducted several experiments in real environments to determine the feasibility, accuracy and applicable environment of the system. The result shows that the system can effectively capture the flow of people in the experimental area. In some cases, under the same environment, it can obtain almost the same mobility tracking information from fewer participating users than the GPS method. }, keywords = {Bluetooth, Crowd detection, Human mobility}, pubstate = {published}, tppubtype = {inproceedings} } Close We propose a client-server system that provides crowd detection and mobility information. Our proposed system has the advantages of low cost and location flexibility without pre-deployed, as long as there is a sufficient number of users involved. We conducted several experiments in real environments to determine the feasibility, accuracy and applicable environment of the system. The result shows that the system can effectively capture the flow of people in the experimental area. In some cases, under the same environment, it can obtain almost the same mobility tracking information from fewer participating users than the GPS method. Close
48.	小野翔多, 山崎託, 三好匠, 瀬崎薫移動体通信併用形MANETにおける通信負荷に基づく経路構築手法 Inproceedings In: 電子情報通信学会信学技報, 大濱信泉記念館（石垣島）, 2020. Abstract \| BibTeX \| タグ: MANET, モバイルネットワーク, 位置情報, 負荷分散 @inproceedings{, title = {移動体通信併用形MANETにおける通信負荷に基づく経路構築手法}, author = {小野翔多 and 山崎託 and 三好匠 and 瀬崎薫}, year = {2020}, date = {2020-02-24}, booktitle = {電子情報通信学会信学技報}, address = {大濱信泉記念館（石垣島）}, abstract = {移動可能な無線ノード間で自律分散的なネットワークを形成するMANET（Mobile ad-hoc network）では，通信要求に応じて経路を構築するルーティングプロトコルが広く検討されている．しかし，これらのプロトコルでは，経路構築時に制御メッセージをネットワーク全体にフラッディングするため，通信資源を大量に消費する．この問題に対して，著者らは，移動体通信を用いてMANETを構築するための仮想領域を作成する移動体通信併用形MANETを提案している．この手法では，仮想領域内に制御メッセージの送信を制限することでネットワーク負荷を低減できるが，多くのノードが近傍に存在するノードが経路に選択されやすいため，ノード間の通信負荷に偏りが生じる．本稿では，移動体通信併用形MANETにおいて，各ノードの通信負荷を分散させるための経路構築手法を提案する．また，シミュレーションにより，既存の経路制御手法と提案手法の比較を行い，有効性を評価する．}, keywords = {MANET, モバイルネットワーク, 位置情報, 負荷分散}, pubstate = {published}, tppubtype = {inproceedings} } Close 移動可能な無線ノード間で自律分散的なネットワークを形成するMANET（Mobile ad-hoc network）では，通信要求に応じて経路を構築するルーティングプロトコルが広く検討されている．しかし，これらのプロトコルでは，経路構築時に制御メッセージをネットワーク全体にフラッディングするため，通信資源を大量に消費する．この問題に対して，著者らは，移動体通信を用いてMANETを構築するための仮想領域を作成する移動体通信併用形MANETを提案している．この手法では，仮想領域内に制御メッセージの送信を制限することでネットワーク負荷を低減できるが，多くのノードが近傍に存在するノードが経路に選択されやすいため，ノード間の通信負荷に偏りが生じる．本稿では，移動体通信併用形MANETにおいて，各ノードの通信負荷を分散させるための経路構築手法を提案する．また，シミュレーションにより，既存の経路制御手法と提案手法の比較を行い，有効性を評価する． Close
49.	栄元優作, 佐々木航, 西山勇毅, 大越匡, 中澤仁モバイルコンピューティングによるエモーショナル・イーティングの検知 Inproceedings In: 研究報告ユビキタスコンピューティングシステム (UBI), pp. 1–8, 情報処理学会, 2020, ISSN: 2188-8698. Abstract \| BibTeX \| タグ: エモーショナル・イーティング, スマートフォン, モバイルセンシング, 情動的摂食, 機械学習, 行動推定 \| Links: @inproceedings{eigen2020_ubi65, title = {モバイルコンピューティングによるエモーショナル・イーティングの検知}, author = {栄元優作 and 佐々木航 and 西山勇毅 and 大越匡 and 中澤仁}, url = {http://id.nii.ac.jp/1001/00203697/}, issn = {2188-8698}, year = {2020}, date = {2020-01-01}, booktitle = {研究報告ユビキタスコンピューティングシステム (UBI)}, volume = {2020}, number = {39}, pages = {1--8}, publisher = {情報処理学会}, abstract = {ストレスや感情の変化に左右された食行動はエモーショナル・イーティングと呼ばれる．エモーショナル・イーティングが発生する原因として，ストレスや生活習慣の乱れによる自律神経やホルモンバランスの乱れがあげられる．したがって，自律神経の活性度やホルモン分泌量を継続して観察・分析することで，エモーショナル・イーティングの発生を予期することが可能である．しかし，それらの計測には特殊な生体センサが必要であり，また長時間の使用は負担が大きい．本研究では，ユーザが日常的に利用しており，かつ利用者の行動パターンの特徴が表れるスマートフォンのセンサ情報と機械学習を組み合わせることで，エモーショナルイーティングの検知に取り組む．そして，スマートフォンのセンサデータと食生活データを収集する SEED システムを構築し，収集データからエモーショナル・イーティングを検知する機械学習モデルを作成した．本システムを用いて 60 人の被験者から 28 日間のデータを収集したところ，87.5% の精度でエモーショナル・イーティングを検知することに成功した．}, keywords = {エモーショナル・イーティング, スマートフォン, モバイルセンシング, 情動的摂食, 機械学習, 行動推定}, pubstate = {published}, tppubtype = {inproceedings} } Close ストレスや感情の変化に左右された食行動はエモーショナル・イーティングと呼ばれる．エモーショナル・イーティングが発生する原因として，ストレスや生活習慣の乱れによる自律神経やホルモンバランスの乱れがあげられる．したがって，自律神経の活性度やホルモン分泌量を継続して観察・分析することで，エモーショナル・イーティングの発生を予期することが可能である．しかし，それらの計測には特殊な生体センサが必要であり，また長時間の使用は負担が大きい．本研究では，ユーザが日常的に利用しており，かつ利用者の行動パターンの特徴が表れるスマートフォンのセンサ情報と機械学習を組み合わせることで，エモーショナルイーティングの検知に取り組む．そして，スマートフォンのセンサデータと食生活データを収集する SEED システムを構築し，収集データからエモーショナル・イーティングを検知する機械学習モデルを作成した．本システムを用いて 60 人の被験者から 28 日間のデータを収集したところ，87.5% の精度でエモーショナル・イーティングを検知することに成功した． Close
2019
Journal Articles
50.	Yuichi Nakamura, Masaki Ito, Kaoru Sezaki Optimal Mobility Control of Sensors in the Event of a Disaster Journal Article Open Access In: Journal of Disaster Research, 14 (3), pp. 500-507, 2019. Abstract \| BibTeX \| タグ: active sensing, disaster prevention, participatory sensing \| Links: @article{YuichiNakamura2019, title = {Optimal Mobility Control of Sensors in the Event of a Disaster}, author = {Yuichi Nakamura and Masaki Ito and Kaoru Sezaki}, doi = {10.20965/jdr.2019.p0500}, year = {2019}, date = {2019-01-01}, journal = {Journal of Disaster Research}, volume = {14}, number = {3}, pages = {500-507}, abstract = {Disasters have caused serious damage on human beings throughout their long history. In a major natural disaster such as an earthquake, a key to mitigate the damage is evacuation. Evidently, secondary collateral disasters is account for more casualty than the initial one. In order to have citizens to evacuate safely for the sake of saving their lives, collecting information is vital. However at times of a disaster, it is a difficult task to gain environmental information about the area by conventional way. One of the solutions to this problem is crowd-sensing, which regards citizens as sensors nodes and collect information with their help. We considered a way of controlling the mobility of such sensor nodes under limitation of its mobility, caused by road blockage, for example. Aiming to make a mobility control scheme that enables high-quality information collection, our method uses preceding result of the measurement to control the mobility. Here it uses kriging variance to do that. We evaluated this method by simulating some measurements and it showed better accuracy than baseline. This is expected to be a method to enable a higher-quality input to the agent-based evacuation simulation, which helps to guide people to evacuate more safely.}, keywords = {active sensing, disaster prevention, participatory sensing}, pubstate = {published}, tppubtype = {article} } Close Disasters have caused serious damage on human beings throughout their long history. In a major natural disaster such as an earthquake, a key to mitigate the damage is evacuation. Evidently, secondary collateral disasters is account for more casualty than the initial one. In order to have citizens to evacuate safely for the sake of saving their lives, collecting information is vital. However at times of a disaster, it is a difficult task to gain environmental information about the area by conventional way. One of the solutions to this problem is crowd-sensing, which regards citizens as sensors nodes and collect information with their help. We considered a way of controlling the mobility of such sensor nodes under limitation of its mobility, caused by road blockage, for example. Aiming to make a mobility control scheme that enables high-quality information collection, our method uses preceding result of the measurement to control the mobility. Here it uses kriging variance to do that. We evaluated this method by simulating some measurements and it showed better accuracy than baseline. This is expected to be a method to enable a higher-quality input to the agent-based evacuation simulation, which helps to guide people to evacuate more safely. Close

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