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Recognizing Emotions from Facial Expressions Using Neural Network

Abstract : Recognizing the emotional state of a human from his/her facial gestures is a very challenging task with wide ranging applications in everyday life. In this paper, we present an emotion detection system developed to automatically recognize basic emotional states from human facial expressions. The system initially analyzes the facial image, locates and measures distinctive human facial deformations such as eyes, eyebrows and mouth and extracts the proper features. Then, a multilayer neural network is used for the classification of the facial expression to the proper emotional states. The system was evaluated on images of human faces from the JAFFE database and the results gathered indicate quite satisfactory performance.
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Isidoros Perikos, Epaminondas Ziakopoulos, Ioannis Hatzilygeroudis. Recognizing Emotions from Facial Expressions Using Neural Network. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. pp.236-245, ⟨10.1007/978-3-662-44654-6_23⟩. ⟨hal-01391320⟩



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