Stress Level Classification Using Facial Images

DOI

10.2991/978-94-6463-529-4_3How to use a DOI?

Keywords

Facial Expression Recognition [FER]; Convolutional Neural Network [CNN]; Deep Convolutional Neural Network [DCNN]; Residual Network; Backtracking; Stress Levels; Long Short Term Memory [LSTM]

Abstract

Mental stress majorly influences the development of various illnesses, like heart attack and stroke. Additionally, it is one of the elements that might lead to the onset of psychiatric conditions like bipolar disorder, schizophrenia, anxiety, and depression. Thus, quantification of stress is important for preventing many diseases. The Stress level classification with facial images aims at determining human stress levels with the help of facial expressions and images. This paper is designed to rate the stress levels as higher, moderate and low with the range of 1-100, according to the facial images captured. The FER-2013 dataset, which contains posed and unposed face photos of seven different emotions, is used to develop two different models: a linear model and hybrid model (a combination of residual network and backtracking) for classifying stress levels with ranges. Therefore, maintaining manual recordings of emotions is difficult and unreliable. Stress level classification makes it efficient and can be used in various fields for detecting stress.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - J. Adlene Anusha
AU  - B. Vinoth Kumar
AU  - V. Aishwarya
AU  - K. Naveena
AU  - Shatakshi Vats
AU  - M. Pravaagini
AU  - Varun Bhardwaj
PY  - 2024
DA  - 2024/10/04
TI  - Stress Level Classification Using Facial Images
BT  - Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
PB  - Atlantis Press
SP  - 22
EP  - 36
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-529-4_3
DO  - 10.2991/978-94-6463-529-4_3
ID  - Anusha2024
ER  -