TY - GEN
T1 - WorkerSense
T2 - 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
AU - Tani, Yuri
AU - Fukuda, Shuichi
AU - Matsuda, Yuki
AU - Inoue, Sozo
AU - Arakawa, Yutaka
N1 - Funding Information:
ACKNOWLEDGMENT This research is partially supported by JST PRESTO, and IoT-NA group, the research community of CAN (Consortium for Applied Neuroscience).
Publisher Copyright:
© 2020 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85091964541&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091964541&partnerID=8YFLogxK
U2 - 10.1109/PerComWorkshops48775.2020.9156085
DO - 10.1109/PerComWorkshops48775.2020.9156085
M3 - Conference contribution
AN - SCOPUS:85091964541
T3 - 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
BT - 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 March 2020 through 27 March 2020
ER -
