| Item type |
SIG Technical Reports(1) |
| 公開日 |
2022-08-29 |
| タイトル |
|
|
タイトル |
A preliminary study for monitoring hygiene behaviors by using multiple sensors on a wrist |
| タイトル |
|
|
言語 |
en |
|
タイトル |
A preliminary study for monitoring hygiene behaviors by using multiple sensors on a wrist |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
行動認識：応用 |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
|
資源タイプ |
technical report |
| 著者所属 |
|
|
|
Institute of Industrial Science, The University of Tokyo |
| 著者所属 |
|
|
|
Institute of Industrial Science, The University of Tokyo |
| 著者所属 |
|
|
|
Institute of Industrial Science, The University of Tokyo／Center for Information Science, The University of Tokyo |
| 著者所属 |
|
|
|
Institute of Industrial Science, The University of Tokyo／Center for Information Science, The University of Tokyo |
| 著者所属(英) |
|
|
|
en |
|
|
Institute of Industrial Science, The University of Tokyo |
| 著者所属(英) |
|
|
|
en |
|
|
Institute of Industrial Science, The University of Tokyo |
| 著者所属(英) |
|
|
|
en |
|
|
Institute of Industrial Science, The University of Tokyo / Center for Information Science, The University of Tokyo |
| 著者所属(英) |
|
|
|
en |
|
|
Institute of Industrial Science, The University of Tokyo / Center for Information Science, The University of Tokyo |
| 著者名 |
Haoyu, Zhuang
Liqiang, Xu
Yuuki, Nishiyama
Kaoru, Sezaki
|
| 著者名(英) |
Haoyu, Zhuang
Liqiang, Xu
Yuuki, Nishiyama
Kaoru, Sezaki
|
| 論文抄録 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Under the epidemic of COVID-19, it is important to automatically detect epidemic protective behaviors without a user's intention. Existing studies utilized only sensor data from IMU for detecting epidemic protection behaviors. However, the performance of the classification for similar behaviors could be unsatisfactory due to the single data dimension. It is well known that washing hands and hand sterilization are essential personal hygiene behaviors. In this paper, we use multiple sensor data from an off-the-shelf smartwatch and smartphone for detecting these three behaviors. Our performance evaluation indicated that our proposed method has improved accuracy for classifying the target epidemic protective behaviors over previous methods. Furthermore, for applying our method in reality, we developed a prototype for detecting these behaviors on a wearable device, which allows us to utilize our method widely in health habits monitoring. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Under the epidemic of COVID-19, it is important to automatically detect epidemic protective behaviors without a user's intention. Existing studies utilized only sensor data from IMU for detecting epidemic protection behaviors. However, the performance of the classification for similar behaviors could be unsatisfactory due to the single data dimension. It is well known that washing hands and hand sterilization are essential personal hygiene behaviors. In this paper, we use multiple sensor data from an off-the-shelf smartwatch and smartphone for detecting these three behaviors. Our performance evaluation indicated that our proposed method has improved accuracy for classifying the target epidemic protective behaviors over previous methods. Furthermore, for applying our method in reality, we developed a prototype for detecting these behaviors on a wearable device, which allows us to utilize our method widely in health habits monitoring. |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA11838947 |
| 書誌情報 |
研究報告ユビキタスコンピューティングシステム（UBI）
巻 2022-UBI-75,
号 27,
p. 1-7,
発行日 2022-08-29
|
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
2188-8698 |
| Notice |
|
|
|
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
|
|
言語 |
ja |
|
出版者 |
情報処理学会 |
IPSJ-UBI22075027.pdf (12.5 MB)
