An Improved Approach for Stress Detection Using Physiological Signals

Kushagra Nigam,Shikha Jain,Kirti Godani,Deepshi Sharma

doi:10.4108/eai.14-5-2021.169919

Abstract

Stress is a major problem in society. Prolonged stress can lead to ill-health and a decrease in self-confidence. It is necessary to detect stress at an early stage to prevent its adverse effects on our physical and psychological health. The paper presents a stress detection model using physiological

Highlights

Nowadays, pandemic, natural disasters and economic recession are affecting our mental health negatively
It is leading to stress (Kaur et al, 2019; Gautam et al, 2020; Sharma et al, 2020; Ausin et el, 2021; Khalaf, 2020; Daniels et al, 2020) in our lives which is causing various psychological illness such as anxiety, depression, eating disorders, attention deficit disorder etc. (Olff et al, 2020) and making the existing problems even worse
This paper proposes an Long Short-Term Memory (LSTM) based stress detection model using physiological signals

Summary

Introduction

Pandemic, natural disasters and economic recession are affecting our mental health negatively. (Olff et al, 2020) and making the existing problems even worse. It is leading to stress (Kaur et al, 2019; Gautam et al, 2020; Sharma et al, 2020; Ausin et el, 2021; Khalaf, 2020; Daniels et al, 2020) in our lives which is causing various psychological illness such as anxiety, depression, eating disorders, attention deficit disorder etc. It is affecting our physical health as well. Stress can be defined as a response to situations that involve a high workload or demands high psychological thinking. Every other person can be seen in stress. If this problem is not dealt with, it might prompt real well-being issues at a later stage

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Conclusion