Abstract: In this project we propose a stress recognition algorithm using face images and Expressions. We proposed an algorithm that can recognize stress from images acquired with a general camera. We also Designed a CNN that receives facial landmarks as input to take advantage of the fact that eye, mouth, and head movements are different from normal situations when a person is stressed. Stress is a natural reaction to various stress inducing factors which can lead to physiological and behavioral changes. If persists for a longer period, stress can cause harmful effects on our body. The body sensors along with the concept of the Internet of Things can provide rich information about one’s mental and physical health.

Keywords: CNN (Convolution Neural Networks).


PDF | DOI: 10.17148/IARJSET.2023.10222

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