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Detection and monitoring of stress using wearables: a systematic review

Medicine and Health

Detection and monitoring of stress using wearables: a systematic review

A. Pinge, V. Gad, et al.

Wearable devices are reshaping mental health monitoring by using continuous sensor data to detect and track stress early. This systematic review examines the sensors and devices used, plus steps like data collection, preprocessing, feature computation, and model training, and outlines future research on stress management. Research conducted by Anuja Pinge, Vinaya Gad, Dheryta Jaisighani, Surjya Ghosh, and Sougata Sen.... show more
Abstract
Over the last few years, wearable devices have witnessed immense changes in terms of sensing capabilities. Wearable devices, with their ever-increasing number of sensors, have been instrumental in monitoring human activities, health-related indicators, and overall wellness. One health-related area that has rapidly adopted wearable devices is the mental health monitoring and well-being area, which covers problems such as psychological distress. The continuous monitoring capability of wearable devices allows the detection and monitoring of stress, thus enabling early detection of mental health problems. In this paper, we present a systematic review of the different types of sensors and wearable devices used by researchers to detect and monitor stress in individuals. We identify and detail the tasks such as data collection, data pre-processing, features computation, and training of the model explored by such research works. We review each step involved in stress detection and monitoring. We also discuss the scope and opportunities for further research that deals with the management of stress once it is detected.
Publisher
Frontiers in Computer Science
Published On
Dec 18, 2024
Authors
Anuja Pinge, Vinaya Gad, Dheryta Jaisighani, Surjya Ghosh, Sougata Sen
Tags
wearable devices
stress detection
sensors
mental health monitoring
data preprocessing
feature computation
model training
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