Paper Contents
Abstract
The major goal of this study is to use vivid Machine Learning and Image Processing methods to identify stress in the human body. Human facial expressions convey a lot of information visually rather than articulately. Facial expression being a important mode of communicating human emotions. Expressions and emotions go hand in hand; special combinations of face muscular actions reflect a particular type of emotion. If further prediction is needed, then the computationally slower Haar cascade feature extraction is performed and a class prediction is made with a trained Densenet algorithm.Face recognition technology has many applications, but they are generally limited to the understanding of human behavior, the detection of mental disorders, and synthesizing human expressions. Haar Cascade is a feature- based face (object) detection algorithm to detect face (object) from images. A cascade function is trained on lots of positive and negative images for detection. The emotion expression of a song and even more importantly its emotional impression on the listener is often underestimated in the domain of music preferences. People tend to listen to music based on their mood and interests. It is widely known that humans make use of facial expressions to express themselves.
Copyright
Copyright © 2024 Raja Packiam P. This is an open access article distributed under the Creative Commons Attribution License.
