Remote assessment of physiological parameters by non-contact methods to detect mental stress

Ye Wang; Xuezhi Yang; Xuenan Liu; Rencheng Song; Jie Zhang

doi:10.1117/12.2682510

20 June 2023 Remote assessment of physiological parameters by non-contact methods to detect mental stress

Ye Wang, Xuezhi Yang, Xuenan Liu, Rencheng Song, Jie Zhang

Proceedings Volume 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023); 127150U (2023) https://doi.org/10.1117/12.2682510
Event: Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 2023, Dalian, China

Abstract

In this study, we present a new method for remote detection of mental stress via webcam. The system is based on remote Photoplethysmograph (rPPG) obtained from face video frames of heart rate, breathing rate, and pulse rate variability (PRV). The experiment collected pulse wave data from 14 healthy students with a stress distribution consisting of four phases: Rest, Stroop-Color-Word Test, Mental Arithmetic Task, and Recovery. We combined the stress questionnaire to select data to assess the human autonomic response to stress and recovery, the results showed significant differences in frequency domain characteristics and nonlinear parameters between phases. The average classification accuracy under different stress sources was 80.31%. The results demonstrate the applicability and convenience of the remote stress detection method. It can be used without disturbing a person’s daily life and provides an alternative to traditional contact techniques for those who want to monitor stress levels regularly.

Citation Download Citation

Ye Wang, Xuezhi Yang, Xuenan Liu, Rencheng Song, and Jie Zhang "Remote assessment of physiological parameters by non-contact methods to detect mental stress", Proc. SPIE 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 127150U (20 June 2023); https://doi.org/10.1117/12.2682510

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