Gesture Recognition using Principle Component Analysis & Viola-Jones Algorithm
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 10
Abstract
Gesture recognition 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, we provide a survey on gesture recognition with particular emphasis on hand gestures and facial expressions. Applications involving wavelet transform and principal component analysis for face and hand gesture recognition on digital images.
Authors and Affiliations
Adita Nimbalkar , Swati Pawar , Vivek Ugale
Keywords
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