Impact of Ethnic Group on Human Emotion Recognition Using Backpropagation Neural Network

Nabil M. Hewahi, Abdul Rhman M. Baraka


We claim that knowing the ethnic group of human would increase the accuracy of the emotion recognition. This is due to the difference between the face appearances and expressions of
various ethnic groups. To test our claim, we developed an approach based on Artificial Neural Networks (ANN) using backpropgation algorithm to recognize the human emotion through facial expressions. Our approach has been tested by using MSDEF dataset, and we found that, there is a positive effect on the accuracy of the recognition of emotion if we consider the ethnic group as input factor while building the recognition model. We achieved 8% improvement rate.


Emotion Recognition, Artificial Neural Networks, Human Computer Interaction, Features Extraction

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