Sezaki & Nishiyama Laboratory
Institute of Industrial Science / Center for Spatial Information Science in The University of Tokyo
Institute of Industrial Science / Center for Spatial Information Science in The University of Tokyo
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 Journal Article
In: 情報処理学会論文誌デジタルプラクティス(TDP), 3 (1), pp. 19–33, 2022, ISSN: 2435-6484.
Abstract | BibTeX | タグ: behavior change, COVID-19, healthcare, mHealth | Links:
@article{sasaki2021_sfcgob,
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},
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},
url = {https://www.ipsj.or.jp/dp/contents/publication/49/S1301-index.html
http://id.nii.ac.jp/1001/00215701/},
issn = {2435-6484},
year = {2022},
date = {2022-01-15},
urldate = {2021-10-01},
journal = {情報処理学会論文誌デジタルプラクティス(TDP)},
volume = {3},
number = {1},
pages = {19--33},
abstract = {COVID-19感染拡大の影響を受け,慶應義塾大学では2020年春学期のすべての授業が,体育も含めてオンライン開催となった.特に大学新入生が全員履修する「体育1」は身体運動体験を通じたクラスメート同士のコミュニケーションの場であり,オンライン授業においてもその機会の損失を防ぐことが求められた.そこで我々は情報系教員・学生と体育教員の知見を融合させた,オンライン体育授業サポートシステム「SFC GO」を1ヶ月で構築し運用した.SFC GOではスマートフォン内蔵センサを用いた身体運動の記録や振り返りが可能であり,出題される課題に則した運動記録をタイムラインへ投稿できる.また,クラスメートの投稿を閲覧することや投稿へコメントすることなどのソーシャルネットワーク機能を有する.そして,バックグラウンドで定常的にセンサデータを収集することによって,家事や散歩などの授業時間以外の日常的な運動の記録や振り返りができる.体育1を履修した学生を対象に学生自身のスマートフォンに本アプリケーションをインストールし,2020年5月から7月のオンライン体育授業で使用した.本稿では,実施期間で収集された運動記録のデータ,テクニカルサポート対応事例やスマートフォンを活用した本実施の経験などから導かれる知見について考察を行う.},
keywords = {behavior change, COVID-19, healthcare, mHealth},
pubstate = {published},
tppubtype = {article}
}
Zengyi Han, Xuefu Dong, Yuuki Nishiyama, Kaoru Sezaki
Poster: Head Dynamics Enabled Riding Maneuver Prediction Inproceedings
In: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications, and Services, Association for Computing Machinery, Portland, Oregon, 2022.
Abstract | BibTeX | タグ: Activity Recognition, Mobile sensing, Wearable sensing | Links:
@inproceedings{mobisys2022_han,
title = {Poster: Head Dynamics Enabled Riding Maneuver Prediction},
author = {Zengyi Han and Xuefu Dong and Yuuki Nishiyama and Kaoru Sezaki},
url = {https://www.sigmobile.org/mobisys/2022/},
year = {2022},
date = {2022-06-27},
urldate = {2022-06-27},
booktitle = {Proceedings of the 20th Annual International Conference on Mobile Systems, Applications, and Services},
publisher = {Association for Computing Machinery},
address = {Portland, Oregon},
series = {MobiSys '22},
abstract = {While micro-mobility brings convenience to the modern city, they also cause various social problems such as traffic accidents, casualties, and huge economic losses. Wearing protective equipment has become the primary recommendation for safe riding, but passive protection cannot prevent accidents from happening after all. Thus, timely predicting the rider's maneuver is essential for more active protection and buying more time to avoid potential accidents from happening. In this poster, we explore the feasibility of using riders’ head dynamics to predict their riding maneuvers. Through ten participants’ preliminary study, we observed that not only do riders’ head movements appear ahead of their maneuvers but also head movement patterns are distinct with different maneuver intentions. We then construct a deep learning network using Long Short Term Memory, achieving 89% of accuracy on maneuver prediction.},
keywords = {Activity Recognition, Mobile sensing, Wearable sensing},
pubstate = {published},
tppubtype = {inproceedings}
}
Liqiang Xu, Yuuki Nishiyama, Kaoru Sezaki
Enhancing Self-protection: What Influences Human’s Epidemic Prevention Behavior during the COVID-19 Pandemic Inproceedings
In: Distributed, Ambient and Pervasive Interactions, Springer International Publishing, Cham, 2022.
BibTeX | タグ: COVID-19, Infection prevention, Mobile sensing, Self-protection behavior, Self-Tracking | Links:
@inproceedings{hcii2022Xu,
title = {Enhancing Self-protection: What Influences Human’s Epidemic Prevention Behavior during the COVID-19 Pandemic},
author = {Liqiang Xu and Yuuki Nishiyama and Kaoru Sezaki},
url = {https://2022.hci.international/},
year = {2022},
date = {2022-06-26},
urldate = {2022-06-26},
booktitle = {Distributed, Ambient and Pervasive Interactions},
publisher = {Springer International Publishing},
address = {Cham},
keywords = {COVID-19, Infection prevention, Mobile sensing, Self-protection behavior, Self-Tracking},
pubstate = {published},
tppubtype = {inproceedings}
}
Yuki Komatsu, Kazuki Shimojo, Yuuki Nishiyama, Kaoru Sezaki
Toward Measuring Conversation Duration Using a Wristwatch-type Wearable Device Inproceedings
In: 2022 IEEE International Conference on Smart Computing (SMARTCOMP), IEEE Computer Society, Espoo, Finland, 2022.
BibTeX | タグ: Context-recognition, Conversation Events, Edge Processing, Sound Classification, Wearable Computing
@inproceedings{smartcomp2022_komatsu,
title = {Toward Measuring Conversation Duration Using a Wristwatch-type Wearable Device},
author = {Yuki Komatsu and Kazuki Shimojo and Yuuki Nishiyama and Kaoru Sezaki},
year = {2022},
date = {2022-06-24},
urldate = {2022-06-24},
booktitle = {2022 IEEE International Conference on Smart Computing (SMARTCOMP)},
publisher = {IEEE Computer Society},
address = {Espoo, Finland},
keywords = {Context-recognition, Conversation Events, Edge Processing, Sound Classification, Wearable Computing},
pubstate = {published},
tppubtype = {inproceedings}
}
下条和暉, 西山勇毅, 瀬崎薫
イアラブルデバイスを用いた街歩き時におけるユーザの道迷い状態の検知 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 - 6, 2022.
Abstract | BibTeX | タグ: イアラブルデバイス, ナビゲーション, 行動認識 | Links:
@inproceedings{ubi74_shimojo,
title = {イアラブルデバイスを用いた街歩き時におけるユーザの道迷い状態の検知},
author = {下条和暉 and 西山勇毅 and 瀬崎薫},
url = {https://www.ipsj.or.jp/kenkyukai/event/ubi74.html},
year = {2022},
date = {2022-06-06},
urldate = {2022-06-06},
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 = {2022-UBI-74},
pages = {1 - 6},
abstract = {街歩きにおいて,ユーザの迷い状態を検知できれば効率的で安全な道案内が実現出来る.イアラブルデバイスは,耳に装着するウェアラブルデバイスであり,搭載された行動認知機構や音声インターフェスによってユーザの状態を把握することが出来る.イアラブルデバイスを活用することえユーザの街中における道迷い状態を検知し,音声案内が可能になると考えられるが,その手法についてはまだ明らかになっていない.そこで本研究では,イアラブルデバイスに搭載されているモーションセンサから収集したデータを用いることで,ユーザの道迷い状態を検知する手法を提案する.},
keywords = {イアラブルデバイス, ナビゲーション, 行動認識},
pubstate = {published},
tppubtype = {inproceedings}
}
Yuki Kasahara, Yuuki Nishiyama, Kaoru Sezaki
Detecting Childcare Activities Using an Off-the-shelf Smartwatch Inproceedings
In: 2022 IEEE International Conference on Smart Computing (SMARTCOMP), IEEE Computer Society, Espoo, Finland, 2022.
BibTeX | タグ: Activity Recognition, Childcare Activity, Wearable sensing
@inproceedings{smartcomp2022_kasahara,
title = {Detecting Childcare Activities Using an Off-the-shelf Smartwatch},
author = {Yuki Kasahara and Yuuki Nishiyama and Kaoru Sezaki},
year = {2022},
date = {2022-06-01},
urldate = {2022-06-01},
booktitle = {2022 IEEE International Conference on Smart Computing (SMARTCOMP)},
publisher = {IEEE Computer Society},
address = {Espoo, Finland},
keywords = {Activity Recognition, Childcare Activity, Wearable sensing},
pubstate = {published},
tppubtype = {inproceedings}
}
Xuefu Dong, Zengyi Han, Yuuki Nishiyama, Kaoru Sezaki
DoubleCheck: Detecting Single-Hand Cycling with Inertial Measurement Unit of Smartphone Inproceedings
In: IEEE International Conference on Pervasive Computing and Communications (PerCom), IEEE, Pisa, Italy, 2022, ISBN: 978-1-6654-1648-1.
Abstract | BibTeX | タグ: | Links:
@inproceedings{percom2022_dong,
title = {DoubleCheck: Detecting Single-Hand Cycling with Inertial Measurement Unit of Smartphone},
author = {Xuefu Dong and Zengyi Han and Yuuki Nishiyama and Kaoru Sezaki},
doi = {10.1109/PerComWorkshops53856.2022.9767429},
isbn = {978-1-6654-1648-1},
year = {2022},
date = {2022-03-21},
urldate = {2022-03-21},
booktitle = {IEEE International Conference on Pervasive Computing and Communications (PerCom)},
publisher = {IEEE},
address = {Pisa, Italy},
abstract = {Riding bikes with only one hand on the handlebar can severely undermine the steering capability of riders and risk road safety. In this study, we propose a first detection framework for monitoring single-hand cycling on bicycle travel, called DoubleCheck. It is based on the premise that riders adapt their body movement during single-hand cycling, which is distinguishable to the sensors even amid noise from the exasperate road surface. The system can detect handlebar-holding under different road conditions using motion signals from a built-in inertial measurement unit (IMU) in a handlebar-mounted smartphone. We implemented the system and invited 10 participants for our evaluation experiment. Our results show that DoubleCheck achieved an F1-score of 0.94 for hand detection, proving its efficacy for real-life implementation to improve road safety.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
小野翔多, 西山勇毅, 瀬崎薫
ウェアラブルデバイスのマイクを用いたマスク装着状態の検知に向けて Inproceedings
In: 第102回MBL・第73回UBI合同研究発表会, online, 2022.
Abstract | BibTeX | タグ: スマートウォッチ, マスク装着情報, 感染症予防, 機械学習, 音声データ | Links:
@inproceedings{nokeyb,
title = {ウェアラブルデバイスのマイクを用いたマスク装着状態の検知に向けて},
author = {小野翔多 and 西山勇毅 and 瀬崎薫},
url = {https://www.ipsj.or.jp/kenkyukai/event/mbl102ubi73.html},
year = {2022},
date = {2022-03-07},
booktitle = {第102回MBL・第73回UBI合同研究発表会},
address = {online},
abstract = {感染症予防において,マスクの装着は飛沫による感染症への感染リスクを低下させる有効な手段の一つである.日常生活中におけるマスク装着の有無やその種類を自動的に検出できれば,感染リスクの判定やJust-in-Timeでの注意喚起,行動記録など様々な応用サービスが実現可能になる.しかし,映像処理や専用機器を用いずに,日常生活中において自動的にマスクの装着状態を検知する手法はまだ提案されていない.本研究では,市販のスマートウォッチの内蔵マイクのみを用いてマスクの装着状態を検出する.マスク装着時の音声特性調査とマスク装着状態判定モデルの評価実験から,マスク装着時・未装着時の音声データと機械学習を用いてマスク装着状態を検知できる可能性が示唆された.},
keywords = {スマートウォッチ, マスク装着情報, 感染症予防, 機械学習, 音声データ},
pubstate = {published},
tppubtype = {inproceedings}
}
牛島秀暢, 西山勇毅, 瀬崎薫
タクシー車両を用いたマイクロモビリティ再配置 Inproceedings Award
In: 情報処理学会 第84回全国大会(愛媛大学), 情報処理学会, 2022.
BibTeX | タグ: | Links:
@inproceedings{ipsj2022_ushijima,
title = {タクシー車両を用いたマイクロモビリティ再配置},
author = {牛島秀暢 and 西山勇毅 and 瀬崎薫},
url = {https://www.ipsj.or.jp/event/taikai/84/index.html},
year = {2022},
date = {2022-03-05},
urldate = {2022-03-05},
booktitle = {情報処理学会 第84回全国大会(愛媛大学)},
publisher = {情報処理学会},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
小松勇輝, 下条和暉, 西山勇毅, 瀬崎薫
腕時計型ウェアラブルデバイスを用いた会話時間計測手法の構築に向けて Inproceedings Award
In: 情報処理学会 第84回全国大会(愛媛大学), 情報処理学会, 2022.
BibTeX | タグ: | Links:
@inproceedings{ipsj2022_komatsu,
title = {腕時計型ウェアラブルデバイスを用いた会話時間計測手法の構築に向けて},
author = {小松勇輝 and 下条和暉 and 西山勇毅 and 瀬崎薫},
url = {https://www.ipsj.or.jp/event/taikai/84/index.html},
year = {2022},
date = {2022-03-05},
urldate = {2022-03-05},
booktitle = {情報処理学会 第84回全国大会(愛媛大学)},
publisher = {情報処理学会},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
小野翔多, 山崎託, 三好匠, 西山勇毅, 瀬崎薫
[奨励講演] 移動体通信併用型MANETにおける端末密度を用いた中継領域制御 Inproceedings
In: 電子情報通信学会 情報通信マネジメント研究会(ICM), online, 2022.
Abstract | BibTeX | タグ: MANET, モバイルネットワーク, 中継領域, 通信負荷 | Links:
@inproceedings{nokey,
title = {[奨励講演] 移動体通信併用型MANETにおける端末密度を用いた中継領域制御},
author = {小野翔多 and 山崎託 and 三好匠 and 西山勇毅 and 瀬崎薫},
url = {https://www.ieice.org/ken/program/index.php?tgs_regid=55edfba9b2118ae5769f94e16eeacecd10dd08f2d3aaa7122a8fb958ddce74ee&tgid=IEICE-ICM},
year = {2022},
date = {2022-03-04},
urldate = {2022-03-04},
booktitle = {電子情報通信学会 情報通信マネジメント研究会(ICM)},
address = {online},
abstract = {Mobile ad-hoc network(MANET)は,端末間の通信のみで自律分散的にネットワークを構築できる.
しかし,通信ネットワーク構築時に制御メッセージを全方位にフラッディングするため,通信資源を過剰に消費する.
位置情報を収集できる端末が通信ネットワーク構築に参加する環境では,端末の位置情報を組み合わせることで,より効率的なフラッディングが可能になると考えられる.
本稿では,端末の位置情報に基づいて仮想通信領域を作成し,その領域内の端末にのみフラッディングすることで,経路探索を効率化する手法を提案する.
シミュレーションによる評価の結果,提案手法は仮想通信領域を柔軟に作成し,過剰な通信資源消費の抑制と通信遅延の削減を実現できることが分かった.},
key = {MANET,位置情報,モバイルネットワーク,中継領域},
keywords = {MANET, モバイルネットワーク, 中継領域, 通信負荷},
pubstate = {published},
tppubtype = {inproceedings}
}
西山勇毅, 瀬崎薫
スマートフォンを用いたベビーカーのコンテキスト検知に向けた一検討 Inproceedings
In: 電子情報通信学会総合大会(オンライン), 電子情報通信学会, 2022.
Abstract | BibTeX | タグ: Activity Recognition, context-awareness, Mobile sensing | Links:
@inproceedings{ieice2022,
title = {スマートフォンを用いたベビーカーのコンテキスト検知に向けた一検討},
author = {西山勇毅 and 瀬崎薫},
url = {https://www.ieice-taikai.jp/2022general/jpn/index.html},
year = {2022},
date = {2022-03-01},
urldate = {2022-03-01},
booktitle = {電子情報通信学会総合大会(オンライン)},
publisher = {電子情報通信学会},
abstract = {ベビーカーは,子供がいる家庭の約70%が所有し,週に一回以上利用する家庭は73.8%であると報告されるなど,保有率・利用率ともに高い.ベビーカーは乳幼児を運搬するため,安全性と快適性が高く求められるが,街中・施設内において安全・快適な走行・滞在可能なルートや場所,時間を手軽に知ることは難しい.これらの情報を検知することで,様々な応用アプリケーションを実現できる.そこで本稿では,スマートフォンを用いたベビーカー移動時の急停止や段差との衝突,路面状態といったベビーカー移動に関するコンテキスト検知の可能性を調査し,その結果を報告する.},
keywords = {Activity Recognition, context-awareness, Mobile sensing},
pubstate = {published},
tppubtype = {inproceedings}
}
笠原有貴, 西山勇毅, 瀬崎薫
ウェアラブルデバイスを用いた子育てコンテキストの検知に向けて Inproceedings
In: 研究報告ヒューマンコンピュータインタラクション研究会(CHI), 情報処理学会, 石垣島, 2022.
Abstract | BibTeX | タグ: モバイル・ウェアラブルセンシング, 子育てコンテキスト, 行動認識 | Links:
@inproceedings{jchi2022_kasahara,
title = {ウェアラブルデバイスを用いた子育てコンテキストの検知に向けて},
author = {笠原有貴 and 西山勇毅 and 瀬崎薫},
url = {http://www.sighci.jp/events/sig/196},
year = {2022},
date = {2022-01-11},
urldate = {2022-01-11},
booktitle = {研究報告ヒューマンコンピュータインタラクション研究会(CHI)},
publisher = {情報処理学会},
address = {石垣島},
abstract = {女性の社会進出や核家族化,産後うつ問題など,子育て環境は大きく変化しており,子育ての効率
化や子育て支援は社会的に大きな課題となっている.本研究では,近年普及傾向にあるウェアラブルデバイスを用いて,ミルクやオムツ替え,お散歩など「親」が「乳幼児」に行う子育て行動の検知技術の開発を行う.子育て中のモーションデータを腕時計型のウェアラブルデバイスに搭載されたモーションセンサを用いて収集し,収集データと機械学習を用いて子育てコンテキストの検知モデルを構築する.本稿では,9種類の子育てコンテキストを定義し,子育てコンテキストの検知モデルの構築とその精度評価を行なった.},
keywords = {モバイル・ウェアラブルセンシング, 子育てコンテキスト, 行動認識},
pubstate = {published},
tppubtype = {inproceedings}
}
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}
}
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 Journal Article Open Access
In: 情報処理学会論文誌デジタルプラクティス(TDP), 3 (1), pp. 19 - 33, 2021, ISSN: 2435-6484.
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{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},
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},
url = {http://id.nii.ac.jp/1001/00215701/
https://ipsj.ixsq.nii.ac.jp/ej/?action=repository_uri&item_id=215809&file_id=1&file_no=1},
issn = {2435-6484},
year = {2021},
date = {2021-10-01},
urldate = {2021-10-01},
journal = {情報処理学会論文誌デジタルプラクティス(TDP)},
volume = {3},
number = {1},
pages = {19 - 33},
abstract = {COVID-19感染拡大の影響を受け,慶應義塾大学では2020年春学期のすべての授業が,体育も含めてオンライン開催となった.特に大学新入生が全員履修する「体育1」は身体運動体験を通じたクラスメート同士のコミュニケーションの場であり,オンライン授業においてもその機会の損失を防ぐことが求められた.そこで我々は情報系教員・学生と体育教員の知見を融合させた,オンライン体育授業サポートシステム「SFC GO」を1ヶ月で構築し運用した.SFC GOではスマートフォン内蔵センサを用いた身体運動の記録や振り返りが可能であり,出題される課題に則した運動記録をタイムラインへ投稿できる.また,クラスメートの投稿を閲覧することや投稿へコメントすることなどのソーシャルネットワーク機能を有する.そして,バックグラウンドで定常的にセンサデータを収集することによって,家事や散歩などの授業時間以外の日常的な運動の記録や振り返りができる.体育1を履修した学生を対象に学生自身のスマートフォンに本アプリケーションをインストールし,2020年5月から7月のオンライン体育授業で使用した.本稿では,実施期間で収集された運動記録のデータ,テクニカルサポート対応事例やスマートフォンを活用した本実施の経験などから導かれる知見について考察を行う.
All classes including physical education were held online in the 2020 spring semester at Keio University due to the spread of the COVID-19 virus. In particular, “Physical Education 1” required for all first year university students, served as a place for communication between classmates. Therefore, it was crucial that such a place of communication was still available, even as an online course. Thus, we constructed the online physical education class support system “SFC GO”, which combines the knowledge of informatics teachers/students and physical education teachers. SFC GO can record and help the users reflect back on the physical exercises conducted using the sensors built in the smartphone, and it is possible to post the exercise record on the timeline according to the task. It also has social network functions such as viewing and commenting on posts made by classmates. By constantly collecting sensor data in the background, SFC GO can record and reflect back on daily exercises such as housework and walks. For students who took Physical Education 1, this system was installed on their own smartphones and was used in online physical education classes from May to July 2020. In this paper, we show the findings derived from the exercise record data collected, technical support cases, and the experience of this implementation using smartphones.},
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}
}
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}
}
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}
}
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}
}
西山勇毅, 瀬崎薫
イヤラブルデバイスを用いた身体感覚記録・利活用システムの構築に向けて Inproceedings Award
In: 第72回情報処理学会ユビキタスコンピューティングシステム(UBI)研究発表会, pp. 1–8, 情報処理学会, 淡路島, 2021, ISSN: 2188-8698.
Abstract | BibTeX | タグ: アスリート, ウェアラブルデバイス, 言語化支援, 身体感覚, 音声認識 | Links:
@inproceedings{nishiyama_ubi72,
title = {イヤラブルデバイスを用いた身体感覚記録・利活用システムの構築に向けて},
author = {西山勇毅 and 瀬崎薫},
url = {http://id.nii.ac.jp/1001/00213861/},
issn = {2188-8698},
year = {2021},
date = {2021-11-01},
urldate = {2021-11-01},
booktitle = {第72回情報処理学会ユビキタスコンピューティングシステム(UBI)研究発表会},
volume = {2021-UBI-72},
number = {12},
pages = {1--8},
publisher = {情報処理学会},
address = {淡路島},
abstract = {スポーツや楽器の演奏,自動車の運転など,効率的に新しい運動スキルを習得し,さらに向上させることは,人々の生活をより豊かにする.運動学習は,主観的な運動感覚と実際の動作とのズレを反復練習により埋める作業であるが,客観的な運動情報に比べ,主観的な情報を低負荷に記録し,それらを活用する環境は整っていない.そこで本研究では,運動学習時における主観的な運動情報を容易に収集・利活用可能なシステムを設計・実装し,評価した.},
keywords = {アスリート, ウェアラブルデバイス, 言語化支援, 身体感覚, 音声認識},
pubstate = {published},
tppubtype = {inproceedings}
}
Helinyi Peng, Yuuki Nishiyama, Kaoru Sezaki
Estimation of Greenhouse Gas Emission Reduction from Shared Micromobility System Inproceedings
In: 2021 IEEE Green Energy and Smart Systems Conference (IGESSC), pp. 1-6, IEEE, Long Beach, CA, USA, 2021, ISSN: 2640-0138.
Abstract | BibTeX | タグ: environmental impacts, greenhouse gas emission, Machine learning, shared micromobility | Links:
@inproceedings{igessc2021_peng,
title = {Estimation of Greenhouse Gas Emission Reduction from Shared Micromobility System},
author = {Helinyi Peng and Yuuki Nishiyama and Kaoru Sezaki},
url = {https://ieeexplore.ieee.org/document/9618701
https://www.youtube.com/watch?v=vbt622kXNuU},
doi = {10.1109/IGESSC53124.2021.9618701},
issn = {2640-0138},
year = {2021},
date = {2021-11-01},
urldate = {2021-11-01},
booktitle = {2021 IEEE Green Energy and Smart Systems Conference (IGESSC)},
pages = {1-6},
publisher = {IEEE},
address = {Long Beach, CA, USA},
abstract = {Shared micromobility is widely recognized as an environmentally friendly travel mode and a critical component of transportation decarbonization. However, quantitatively assessing its environmental impact using real-world trip data is an unresolved and challenging subject. In this research, we proposed a system combining machine learning algorithms and the Monte Carlo simulation to address this issue. First, several machine learning algorithms (Random Forest, XGBoost, and LightGBM) were utilized to identify citizens’ travel mode choice preferences and then estimate the substituted travel mode of each micromobility trip. Second, to ensure the reliability of the final environmental impact assessment, the Monte Carlo simulations were used to simulate the substituted mode of each trip. Then the environmental impacts were calculated based on the life cycle greenhouse gas emissions. Instead of estimating a specific number, we obtained a probabilistic outcome for environmental impacts by using the Monte Carlo simulation, which considers the uncertainty. According to the studies, the shared bike service and the shared e-scooter service have positive environmental impacts. However, these effects are limited compared to the transportation sector’s total emissions. The most compelling reason is that shared micromobility comprises a minuscule part of total urban travel.},
keywords = {environmental impacts, greenhouse gas emission, Machine learning, shared micromobility},
pubstate = {published},
tppubtype = {inproceedings}
}
Hong Duc Nguyen, Shunsuke Aoki, Yuuki Nishiyama, Kaoru Sezaki
A Run-time Dynamic Computation Offloading Strategy in Vehicular Edge Computing Inproceedings
In: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), IEEE, Online, 2021.
Abstract | 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},
author = {Hong Duc Nguyen and Shunsuke Aoki and Yuuki Nishiyama and Kaoru Sezaki},
url = {https://events.vtsociety.org/vtc2021-fall/
https://ieeexplore.ieee.org/document/9625245},
doi = {10.1109/VTC2021-Fall52928.2021.9625245},
year = {2021},
date = {2021-09-27},
urldate = {2021-09-27},
booktitle = {2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)},
publisher = {IEEE},
address = {Online},
abstract = {In vehicular edge computing (VEC), offloading the tasks to the nearby resource-rich edge servers helps each vehicle enhance computational capabilities and improve in-vehicle applications' performance. However, the concentration of travel at specific spaces and times poses significant challenges on the load-balancing and scheduling of computation tasks at the edge servers. This paper studies a low-complexity dynamic online offloading strategy that efficiently reduces task delay and computing resource consumption in the multi-user, multiserver vehicular edge computing scenarios. Our design addresses issues of computation task placement and execution order of the tasks on each server. We use a realistic approach that vehicles generate tasks over time, and the set of the tasks is unknown in advance so that the offloading decisions are made in runtime. Extensive simulations are conducted on a real mobility trace of Luxembourg city, and the results show that the proposed algorithm effectively improves the offloading utility of the system.},
keywords = {Connected vehicles, Edge computing, Off-loading, Vehicular networks},
pubstate = {published},
tppubtype = {inproceedings}
}
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}
}
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}
}
Hong Duc Nguyen, Shunsuke Aoki, Yuuki Nishiyama, Kaoru Sezaki
An Online Task Offloading Strategy in Vehicular Edge Computing Inproceedings Award
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},
urldate = {2021-09-14},
booktitle = {IEICE Society Conference 2021 },
publisher = {IEICE},
keywords = {Connected vehicles, Edge computing, Off-loading, Vehicular networks},
pubstate = {published},
tppubtype = {inproceedings}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}