Human Stress Assessment: A Comprehensive Review of Methods Using Wearable Sensors and Non-wearable Techniques

• URL: http://arxiv.org/abs/2202.03033v2
• Date: Wed, 7 Jun 2023 07:02:40 GMT
• Title: Human Stress Assessment: A Comprehensive Review of Methods Using Wearable Sensors and Non-wearable Techniques
• Authors: Aamir Arsalan, Muhammad Majid, Imran Fareed Nizami, Waleed Manzoor, Syed Muhammad Anwar, and Jihyoung Ryu
• Abstract summary: The methods for measuring human stress responses could include subjective questionnaires and objective markers observed using data from wearable and non-wearable sensors. We explore how stress detection methods can benefit from artificial intelligence utilizing relevant data from various sources.
• Score: 10.09810782568186
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper presents a comprehensive review of methods covering significant subjective and objective human stress detection techniques available in the literature. The methods for measuring human stress responses could include subjective questionnaires (developed by psychologists) and objective markers observed using data from wearable and non-wearable sensors. In particular, wearable sensor-based methods commonly use data from electroencephalography, electrocardiogram, galvanic skin response, electromyography, electrodermal activity, heart rate, heart rate variability, and photoplethysmography both individually and in multimodal fusion strategies. Whereas, methods based on non-wearable sensors include strategies such as analyzing pupil dilation and speech, smartphone data, eye movement, body posture, and thermal imaging. Whenever a stressful situation is encountered by an individual, physiological, physical, or behavioral change is induced which help in coping with the challenge at hand. A wide range of studies has attempted to establish a relationship between these stressful situations and the response of human beings by using different kinds of psychological, physiological, physical, and behavioral measures. Inspired by the lack of availability of a definitive verdict about the relationship of human stress with these different kinds of markers, a detailed survey about human stress detection methods is conducted in this paper. In particular, we explore how stress detection methods can benefit from artificial intelligence utilizing relevant data from various sources. This review will prove to be a reference document that would provide guidelines for future research enabling effective detection of human stress conditions.

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