About this document
Real-Time Facial Emotion Recognition by manas kumar is a document available to read on EtoBox.
This paper outlines a real-time facial emotion recognition system using a convolutional neural network trained on the FER2013 dataset, integrated with OpenCV for face detection and emotion visualization. The model achieves a validation accuracy of 65% and demonstrates efficient performance on standard hardware, despite challenges such as data quality and class imbalance. Future work includes exploring advanced architectures, temporal dynamics, and multi-modal analysis to enhance the system
- Author
- manas kumar
- Language
- EN