WorkerSense: Mobile Sensing Platform for Collecting Physiological, Mental, and Environmental State of Office Workers

Yuri Tani, Shuichi Fukuda, Yuki Matsuda, Sozo Inoue, Yutaka Arakawa

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

In data collection of the human physiological and psychological conditions for mental healthcare (e.g., work engagement), measurement methods using environment-installed sensors and questionnaire surveys have been often used. However, these approaches are not practical in continuous data collection, due to the large burden for people. Recently, in association with advancing sensing technology with IoTs, sensing by small sensors and wearable devices has become possible easily. In this paper, we aim to establish a simple and general sensing method based on a mobile application for measuring physiological and psychological state of office workers and environmental state. Through the experiment for 2-3 weeks involving 60 office workers of four Japanese companies by using our application, we succeeded to create a dataset of physiological, environment, and mental state. This paper explains the developed mobile application, experimental procedure, and a summary of the data collected in the experiment.

本文言語英語
ホスト出版物のタイトル2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728147161
DOI
出版ステータス出版済み - 3 2020
イベント2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020 - Austin, 米国
継続期間: 3 23 20203 27 2020

出版物シリーズ

名前2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020

会議

会議2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
Country米国
CityAustin
Period3/23/203/27/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Human-Computer Interaction
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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