Facial Emotion Recognition using OpenCV and Deepface
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Updated
Jul 22, 2024 - Python
Facial Emotion Recognition using OpenCV and Deepface
An Android app for real-time facial emotion recognition, designed to improve accuracy for Middle Eastern faces and women wearing hijabs. The CNN model is trained on a hybrid dataset (FER2013, CK+, JAFFE, and IEFDB), achieving 88% accuracy on the hybrid test set and 90% on IEFDB test set.
Real-time facial emotion recognition is a technology that uses computer vision and machine learning to analyze a person's facial expressions in real-time and determine their emotional state.
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