| Título: | Impact of Ethnic Group on Human Emotion Recognition Using Backpropagation Neural Network |
| Autores: |
Nabil M. Hewahi; Bahrain University Abdul Rhman M. Baraka; Islamic University of Gaza |
| Fecha: | 2011-12-28 |
| Publicador: | BRAIN: Broad Research in Artificial Intelligence and Neuroscience |
| Fuente: |
 |
| Tipo: | Peer-reviewed Article |
| Tema: |
Artificial Intelligence, Psychology Emotion Recognition, Artificial Neural Networks, Human Computer Interaction, Features Extraction |
| Descripción: | 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 ofvarious 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. |
| Idioma: | Inglés |
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