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Impact of Physiological Sensor Variance on Machine...
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Impact of Physiological Sensor Variance on Machine Learning Algorithms

Abstract

Machine learning based acute stress detection systems use physiological sensor data to objectively predict acute stress. However, machine learning algorithms developed for stress detection do not consider how machine learning algorithm performance may be affected based on a change(s) in the deployment environment. In this study, the deployment environment changes that are investigated are sensor type and sensor placement. Electrodermal activity …

Authors

Simons A; Doyle T; Musson D; Reilly J

Volume

00

Pagination

pp. 241-247

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

October 14, 2020

DOI

10.1109/smc42975.2020.9282912

Name of conference

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)