Enhancing Emotion Recognition Accuracy Applications and implications

Emotions play a very important part of human communication in day to day life. Person expresses has emotions in many other ways and these ways are the slight modification or the variation in his voice tone or his visual communication. Facial expressions play an important role in facilitating human communication and interactions. Emotion recognition is essential for everyday living for meaningful interaction. The popularity of those emotions by machines has been one in every of the foremost difficult areas of analysis within the field of human machine interaction. The main target of the work done in the research paper is to develop a system for recognizing emotions through facial expressions using neural networks.

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Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/amathe65477.2025.11081219
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
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article

Enhancing Emotion Recognition Accuracy Applications and implications

Rajashree Jain, Lakshya Tyagi, Milind Talele, Khushboo Chhabra
Emotion and Mood Recognition
article

Enhancing Emotion Recognition Accuracy Applications and implications

Rajashree Jain, Lakshya Tyagi, Milind Talele, Khushboo Chhabra
article en

Abstract

Emotions play a very important part of human communication in day to day life. Person expresses has emotions in many other ways and these ways are the slight modification or the variation in his voice tone or his visual communication. Facial expressions play an important role in facilitating human communication and interactions. Emotion recognition is essential for everyday living for meaningful interaction. The popularity of those emotions by machines has been one in every of the foremost difficult areas of analysis within the field of human machine interaction. The main target of the work done in the research paper is to develop a system for recognizing emotions through facial expressions using neural networks.

Symbiosis International University (IN)
Openalex Percentile: Top 82%
Emotion and Mood Recognition
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