Face Emotion Recognition System Using Machine Learning |
Author(s): |
| Karande Mayuresh Rajendra , Dr. D. Y. Patil Arts, Commerce & Science College, Pimpri, Pune; Ghadage Tushar Pravin, Dr. D. Y. Patil Arts, Commerce & Science College, Pimpri, Pune |
Keywords: |
| Emotion Recognition, Deep Learning, CNN, Real-Time Detection, Human-Computer Interaction |
Abstract |
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This study proposes a machine learning-based face emotion recognition (FER) system to analyse human emotions in real time. The system aims to improve human-computer interaction and assist in fields like mental health, education, and surveillance. By integrating advanced computer vision techniques with deep learning, the system detects and classifies emotions such as happiness, anger, sadness, and surprise. The research explores methodologies like convolutional neural networks (CNNs) and transfer learning to enhance emotion recognition accuracy. This system demonstrates the potential for better emotional understanding in practical applications. |
Other Details |
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Paper ID: IJSRDV13I20146 Published in: Volume : 13, Issue : 2 Publication Date: 01/05/2025 Page(s): 135-137 |
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