Publication

@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}

}

@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}

}

@inproceedings{岩井将行2010,

title = {モバイルCO2センサを用いた通勤者自身による生活圏レベル空気計測システム},

author = {岩井将行 and 齋藤修 and 中嶋紀夫 and 戸辺義人 and 瀬崎薫},

url = {https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201002275573946113},

issn = {1882-0840},

year  = {2010},

date = {2010-06-30},

booktitle = {Dicomo 2010},

pages = {1345--1351},

abstract = {近年,経済活動や人間の生活活動により車両から排出されるCO2などの温暖化効果ガスなどが急激に増加している。温暖化効果ガスの計測システムはアメダスなどにより局所的,部分的にしか設置しておらず,細かい粒度の生活圏レベルで計測できていない現状にある。そのため発生源の推測や地域ごとや生活圏ごとの危険度の掌握などができていなかった。そのため,グローバルの地球温暖化の波の中で温暖化ガスの一つであるCO2の消費量がどの程度個々の生活のなかで利用されているのかが不明確であった。このため個人は本問題を自己の問題として認識することが希薄になったままの現状であることは否定できない。また計測器のインフラのコストが高く機材も大型になるため設置できる場所が限られ市民に生活圏とは乖離した場所での計測に留まっており根本的な温暖化ガスの解決への道筋が見えない状況となっている。本研究により,我々は本問題を解決するモバイルCO2センサによる日常空間の計測の研究を開始した。測定結果から十分に生活のコンテクストや日常生活のCO2の増減を「見える化」することが可能であることを示す。},

keywords = {CO2濃度, GPS, Human Probe, 健康, 環境計測},

pubstate = {published},

tppubtype = {inproceedings}

}