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A Multimodal Approach to Improve the Robustness of Physiological Stress Prediction During Physical Activity

Authors :
Jean-François Gagnon
Isabela Albuquerque
Daniel Lafond
Tiago H. Falk
Mark Parent
Abhishek Tiwari
Sébastien Tremblay
Source :
SMC
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

Stress is well known to have negative effects on health and workplace performance. Physiological sensing using wearables shows in turn great potential for realtime stress monitoring. While some off-the-shelf consumer products (e.g. smartwatches) already feature stress detection, there is still a pressing need to improve the robustness of these models in ecological settings where physical activity can hamper detection accuracy. In this paper, we show that using a multimodal physiological stress model can not only improve model accuracy, but can increase robustness to physical activity inference. To do so, we propose a video game based method to elicit emotional responses. More specifically, 48 participants played video games in which psychological stress and physical activity were jointly modulated. Physiological features showing robustness to stress are analyzed in order to guide further research.

Details

Database :
OpenAIRE
Journal :
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
Accession number :
edsair.doi...........e9567f5838e89ef63d97b43620a399ba
Full Text :
https://doi.org/10.1109/smc.2019.8914254