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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728147161
DOIs
Publication statusPublished - Mar 2020
Event2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020 - Austin, United States
Duration: Mar 23 2020Mar 27 2020

Publication series

Name2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020

Conference

Conference2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
CountryUnited States
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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