An unsupervised learning method for perceived stress level recognition based on office working behavior

Worawat Lawanont, Masahiro Inoue

研究成果: Conference contribution

抄録

The health issues in office workers regarding of working environment and working behavior have raised many concerns, both in medical field and technological field. For medical field, the concerns were related to physical injuries and stress due to either bad environment or bad working behaviors. In technological field, the main concern was to find a proper solution to prevent and raise awareness to these issues. In this paper, we discussed the possibility of using unsupervised learning for clustering office working behavior to show the relationship of the working behavior and stress level. We used the data collected from the device which include both behavior data and environment data. The results successfully demonstrated the two clusters that represents the working behavior related to either high or low stress level. The results can be used further to develop a classification model and to raise awareness in office workers.

元の言語English
ホスト出版物のタイトルInternational Conference on Electronics, Information and Communication, ICEIC 2018
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1-4
ページ数4
2018-January
ISBN(電子版)9781538647547
DOI
出版物ステータスPublished - 2018 4 2
イベント17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States
継続期間: 2018 1 242018 1 27

Other

Other17th International Conference on Electronics, Information and Communication, ICEIC 2018
United States
Honolulu
期間18/1/2418/1/27

Fingerprint

Unsupervised learning
Health

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

これを引用

Lawanont, W., & Inoue, M. (2018). An unsupervised learning method for perceived stress level recognition based on office working behavior. : International Conference on Electronics, Information and Communication, ICEIC 2018 (巻 2018-January, pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELINFOCOM.2018.8330700

An unsupervised learning method for perceived stress level recognition based on office working behavior. / Lawanont, Worawat; Inoue, Masahiro.

International Conference on Electronics, Information and Communication, ICEIC 2018. 巻 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4.

研究成果: Conference contribution

Lawanont, W & Inoue, M 2018, An unsupervised learning method for perceived stress level recognition based on office working behavior. : International Conference on Electronics, Information and Communication, ICEIC 2018. 巻. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 17th International Conference on Electronics, Information and Communication, ICEIC 2018, Honolulu, United States, 18/1/24. https://doi.org/10.23919/ELINFOCOM.2018.8330700
Lawanont W, Inoue M. An unsupervised learning method for perceived stress level recognition based on office working behavior. : International Conference on Electronics, Information and Communication, ICEIC 2018. 巻 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4 https://doi.org/10.23919/ELINFOCOM.2018.8330700
Lawanont, Worawat ; Inoue, Masahiro. / An unsupervised learning method for perceived stress level recognition based on office working behavior. International Conference on Electronics, Information and Communication, ICEIC 2018. 巻 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-4
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