Social and Competition Stress Detection with Wristband Physiological Signals

Mert Sevil1, Iman Hajizadeh, Sediqeh Samadi, Jianyuan Feng, Caterina Lazaro1, Nicole Frantz, Xia Yu, Rachel Brandt, Zacharie Maloney, Ali Cinar1

  • 1Illinois Institute of Technology

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Contributed Papers (Poster)

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10:45 - 11:30 | Wed 10 May | Einstein Auditorium Foyer | WePoS

Morning Break 1 and Posters

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Abstract

Stress causes many physiological changes in the body and has significant effects on physiology. Various types of acute stress include social, competition, emotional and mental stress. Several studies and experiments have been conducted to investigate stress detection and measurement with physiological signals. We designed social and competition stress experiments to test our algorithms to discriminate between stress and non-stress states with physiological signals from an Empatica wristband. The algorithms were successful in detecting the presence of stress with approximately 87% accuracy.

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