Survey on Real Time Hand Gesture Recognition

Since ancient times, gestures has been the basic mode of communication, until humans developed vocal communication, but still, non-vocal communication is equally significant. These hand gestures have various application not only in entertainment and utility sections like human computer interaction, gaming but also in human life improvement sections like real time traffic signal control system and sign language recognition for the deaf and dumb. The major steps involved in implementing this recognition system include data acquisition, segmentation and tracking, feature extraction and gesture recognition. Hand gesture technologies can be basically divided into Sensor Based, Vision Based and Depth Based techniques. Each technique has its pro's and con's while being used for various applications. Based on the research works conducted by researchers various techniques implemented at each step can modified according to the improving hardware and software framework developments. This paper thus presents an amalgamation of various techniques and its substeps which can come handy while working on real time hand gesture recognition.