Detecting Work-related Stress using Physiological Signals and Psychological Stress-Coping Profiles

Juan Lorenzo Hagad; Koichi Moriyama; 福井 健一; 沼尾 正行

doi:10.11517/pjsai.JSAI2015.0_1C44

人工知能学会全国大会論文集

Online ISSN : 2758-7347

29th (2015)

セッションID: 1C4-4

DOI https://doi.org/10.11517/pjsai.JSAI2015.0_1C44

会議情報

主催: The Japanese Society for Artificial Intelligence

会議名: 2015年度人工知能学会全国大会（第29回）

回次: 29

開催地: 北海道函館市公立はこだて未来大学

開催日: 2015/05/30 - 2015/06/02

Detecting Work-related Stress using Physiological Signals and Psychological Stress-Coping Profiles

*Juan Lorenzo Hagad, Koichi Moriyama, 福井健一, 沼尾正行

著者情報

会議録・要旨集フリー

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抄録

The purpose of this research is to build a general machine–learned model of work stress by combining physiological data, activity data, and subjective psychological stress coping profiles.

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