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Title:
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RECOGNITION OF EXPRESSIONS ON HUMAN FACE USING AI TECHNIQUES
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Author:
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Arpita Nagpal , Astha Garg
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Keywords:
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Facial Expression, Support Vector Machine, Active appearance Model, Haar classifier, Human Computer Interface.
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Abstract:
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Facial expressions convey non-verbal cues, which play an important role in interpersonal relations. Facial expressions recognition technology helps in designing an intelligent human computer interfaces. This paper discusses a three phase technique for the facial expression recognition of the Indian faces. In the first phase the faces are tracked using Haar classifier in the live videos of Indian student’s community. In the second phase 38 facial feature points are detected using Active Appearance Model (AAM) technique. In the last step the support vector machine (SVM) is used to classify four primary facial expression. Integrating these broader techniques and obtaining a reasonably good performance is a very big challenge. The performance of the proposed facial expressions recognizer is 82.7%.
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