-The use of gesture as a natural interface serves as a motivating force for research in modelling, analysing and recognition of gestures. In particular, human computer intelligent interaction needs vision-based gesture recognition, which involves many interdisciplinary studies. A survey on recent real-time hand gesture recognition approaches is given in this paper. Hand gesture recognition is a relatively new field for the computer science. Applications for hand gesture recognition in machine learning systems have been developed approximately for 20 years. Research in motion-based recognition has greatly increased in last few years. Recently, there has been a surge of interest on hand detection, tracking, and gesture recognition. Human gesture recognition consists of identifying and interpreting automatically human gestures using a set of sensors (e.g. cameras, gloves). In this paper, efforts have been taken to present an up to-date review of the state-of-the-art in human gesture recognition which includes gesture recognition techniques, representations and applications.
CITATION STYLE
Shabnam, S., & Aqueel, S. (2015). Real Time Hand Gesture Recognition System: A Review. IJCSN International Journal of Computer Science and Network, 4(2), 2277–5420. Retrieved from www.IJCSN.org
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