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ICIAR
2010
Springer

Recognition of Facial Expressions by Cortical Multi-scale Line and Edge Coding

8 years 8 months ago
Recognition of Facial Expressions by Cortical Multi-scale Line and Edge Coding
Abstract. Face-to-face communications between humans involve emotions, which often are unconsciously conveyed by facial expressions and body gestures. Intelligent human-machine interfaces, for example in cognitive robotics, need to recognize emotions. This paper addresses facial expressions and their neural correlates on the basis of a model of the visual cortex: the multi-scale line and edge coding. The recognition model links the cortical representation with Paul Ekman’s Action Units which are related to the different facial muscles. The model applies a top-down categorization with trends and magnitudes of displacements of the mouth and eyebrows based on expected displacements relative to a neutral expression. The happy vs. not-happy categorization yielded a correct recognition rate of 91%, whereas final recognition of the six expressions happy, anger, disgust, fear, sadness and surprise resulted in a rate of 78%.
R. J. R. de Sousa, J. M. F. Rodrigues, J. M. Hans
Added 26 Jan 2011
Updated 26 Jan 2011
Type Journal
Year 2010
Where ICIAR
Authors R. J. R. de Sousa, J. M. F. Rodrigues, J. M. Hans du Buf
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