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Gesture recognition process pertains to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body. It is of utmost importance in designing an intelligent and efficient human - computer interface. The applications of gesture recognition are manifold, ranging from sign language through medical rehabilitation to virtual reality. In this paper, various algorithms for gesture recognition have been investigated. First step in any gesture recognition process is face detection. The authors investigated algorithms like color segmentation, morphological image processing,etc., for face detection, and Eigen faces for gesture recognition.
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