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real-time-face-emotion-detection

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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.

  • Updated Sep 11, 2023
  • Java

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.

  • Updated Nov 3, 2023
  • Jupyter Notebook

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