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Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/25221

Title: Real-Time Recognition of Facial Expression for Affective Computing Applications
Authors: Wang, Christopher
Advisor: Benhabib, Bensiyon
Nejat, Goldie
Keywords: real-time recognition
facial expression
computer applications
Issue Date: 23-Nov-2010
Abstract: In this paper, a real-time facial expression recognition system is proposed to classify images of human facial expressions into a two dimensional model of emotion. The system is comprised of a facial feature detection system that uses constrained local models to locate the features, and a facial expression recognition system that utilizes multi-class support vector machines to classify the facial expressions. The outputs of the system are values of pleasure and arousal associated with an input image. Classifications rates achieved were 76% for the pleasure dimension and 62% for the arousal dimension. An analysis on facial action parameters also revealed that some parameters were more effective at determining pleasure and arousal values than others.
URI: http://hdl.handle.net/1807/25221
Appears in Collections:Master of Engineering (M.Eng.) project reports

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