ANUJA PINGE ^1* Vinaya Gad ² Dheryta Jaisighani ³ Surjya Ghosh ¹ Sougata Sen ¹

• ¹ Birla Institute of Technology and Science, Sancoale, India
• ² Gopal Govind Poy Raiturcar College of Commerce and Economics, India, Ponda, India
• ³ University of Northern Iowa, Cedar Falls, Iowa, United States

Over the last few years, wearable devices have witnessed immense changes in terms of form factors and 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 severe stress. The continuous monitoring capability of wearable devices allows the detection and monitoring of stress thus helping the 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 various 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.