Research Article
Workplace Stress Estimation from Physiological Indices in Real Situation
@INPROCEEDINGS{10.1007/978-3-319-11564-1_2, author={Guillaume Lopez and Hirohito Ide and Masaki Shuzo and Shin’ichi Warisawa and Ichiro Yamada}, title={Workplace Stress Estimation from Physiological Indices in Real Situation}, proceedings={Pervasive Computing Paradigms for Mental Health. 4th International Symposium, MindCare 2014, Tokyo, Japan, May 8-9, 2014, Revised Selected Papers}, proceedings_a={MINDCARE}, year={2014}, month={12}, keywords={Multivariate analysis Stress monitoring Virtual healthcare Wearable sensors Workplace stress}, doi={10.1007/978-3-319-11564-1_2} }- Guillaume Lopez
Hirohito Ide
Masaki Shuzo
Shin’ichi Warisawa
Ichiro Yamada
Year: 2014
Workplace Stress Estimation from Physiological Indices in Real Situation
MINDCARE
Springer
DOI: 10.1007/978-3-319-11564-1_2
Abstract
We have developed a new method to estimate no only stress occurrence, but also various workplace stress types. The method relies on adaptive selection of physiological indices integrated into an intelligent multi-steps discrimination process. Preliminary results revealed the method promising to improve estimation accuracy of workplace stress types. The study reported here, has two purposes: investigate if it is effectively possible to estimate stress type independently from individual differences, and validate the performances of proposed method in real situation. Four subjects that were not part of the preliminary study were assigned whether a tape dictation task or a presentation task as real situation tasks. The occurrence of various types of harmful stress could be correctly discriminated, confirming proposed method as an effective solution to estimate stress type regardless individual differences.
