Detection and Monitoring of Stress Using Wearables: A Systematic Review

Authors

Anuja Pinge, Birla Institute of Technology and Science, PilaniFollow
Vinaya Gad, Goa Vidyaprasarak Mandal’s Gopal Govind Poy Raiturcar College of Commerce and Economics
Dheryta Jaisinghani, University of Northern IowaFollow
Surjya Ghosh, Birla Institute of Technology and Science, PilaniFollow
Sougata Sen, Birla Institute of Technology and Science, PilaniFollow

Comments

First published in Frontiers in Computer Science, v6 (Dec 2024) published by Frontiers Media S.A. DOI: https://doi.org/10.3389/fcomp.2024.1478851

Document Type

Article

Publication Version

Published Version

Keywords

affective computing, healthcare, stress detection, stress monitoring, ubiquitous computing, wearable technology

Journal/Book/Conference Title

Frontiers in Computer Science

Volume

6

First Page

1

Last Page

17

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.

Department

Department of Computer Science

Original Publication Date

12-18-2024

Object Description

1 PDF File

DOI of published version

10.3389/fcomp.2024.1478851

Repository

UNI ScholarWorks, Rod Library, University of Northern Iowa

Copyright

©2024 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Language

en

File Format

application/pdf

Recommended Citation

Pinge, Anuja; Gad, Vinaya; Jaisinghani, Dheryta; Ghosh, Surjya; and Sen, Sougata, "Detection and Monitoring of Stress Using Wearables: A Systematic Review" (2024). Faculty Publications. 6739.
https://scholarworks.uni.edu/facpub/6739