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Extracting and understanding human emotion plays an important role in the interaction between humans and machine communication systems. The most expressive way to display human emotion is through facial expression analysis. In this paper, we propose a novel extraction and recognition method for facial expression and emotion on mobile cameras and formulate a classification model for facial emotions...
Recognizing and understanding of human emotion is a strongly reasonable method for the interaction among human and machine communication system. The most expressive way to extract and recognize the humane emotion is through facial expression analysis. This paper presents and implements an automatic extracting, understand and recognizing method of facial expression and emotion from input still images...
Active shape model (ASM) is one of the most popular local texture models for face detection. This paper addresses issues related to face detection and implements an efficient extraction of facial point features which is more suitable for using on mobile devices. The proposed and implemented algorithm in this paper is modified to enhance its performance (1) improving the initialization model using...
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