Automatic emotional expression analysis from eye area

Betül Akkoç; Ahmet Arslan

doi:10.1117/12.2180875

14 February 2015 Automatic emotional expression analysis from eye area

Betül Akkoç, Ahmet Arslan

Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 944512 (2015) https://doi.org/10.1117/12.2180875
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy

Abstract

Eyes play an important role in expressing emotions in nonverbal communication. In the present study, emotional expression classification was performed based on the features that were automatically extracted from the eye area. Fırst, the face area and the eye area were automatically extracted from the captured image. Afterwards, the parameters to be used for the analysis through discrete wavelet transformation were obtained from the eye area. Using these parameters, emotional expression analysis was performed through artificial intelligence techniques. As the result of the experimental studies, 6 universal emotions consisting of expressions of happiness, sadness, surprise, disgust, anger and fear were classified at a success rate of 84% using artificial neural networks.

Citation Download Citation

Betül Akkoç and Ahmet Arslan "Automatic emotional expression analysis from eye area", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944512 (14 February 2015); https://doi.org/10.1117/12.2180875

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