Abstract
One of the common ways of human showing emotion is through the change in facial expression. In this paper, we propose a new method for emotion detection by analyzing facial expression images. Facial expression information is analyzed by using a new feature construction method called Evolution-COnstructed (ECO) Features. The proposed algorithm is able to automatically recognize seven basic emotions that include Anger, Contempt, Disgust, Fear, Happiness, Sadness and Surprise. The test results on the Cohn- Kanade dataset show that the proposed algorithm has a very high classification accuracy.
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Zhang, M., Lee, DJ., Desai, A., Lillywhite, K.D., Tippetts, B.J. (2014). Automatic Facial Expression Recognition Using Evolution-Constructed Features. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8888. Springer, Cham. https://doi.org/10.1007/978-3-319-14364-4_27
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DOI: https://doi.org/10.1007/978-3-319-14364-4_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14363-7
Online ISBN: 978-3-319-14364-4
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