Comparative Study and Analysis for Gesture Recognition Methodologies

The diverse applications of hand gesture recognition system accepted it great attention especially in the past few years, besides the recognition system ability to interact with machine naturally and efficiently through human computer interaction. Hand gestures recognition system has different applications on different domains including virtual environments, graphic editor systems, sign language translation, games, and robot control. In this paper a survey of some recent hand gesture recognition systems is presented. Application areas are explained with the system challenges as well. Description of hand gesture recognition system phases which are segmentation, feature detection and extraction, and classification. A review of hand gesture systems are discussed and summary of these systems are given with comparisons on different evaluations criteria such as recognition rates, database used, invariant factor, and different methods used for hand gesture recognition systems phases. And finally advantages and disadvantages of these systems are explained.