SURVEY ON VARIOUS HAND GESTURE RECOGNITION TECHNIQUES

Bhoomi Shah 1,Shubham Singhal2  

1Department of Computer Engineering MIT College Of Engineering Pune, India  

2Department of Computer Engineering MIT College Of Engineering Pune, India 

ABSTRACT:  Pattern recognition of hand gestures associated with different alphabets and key press events contributes enormously towards human computer interaction. Nonverbal communication using hand gesture provides user friendly way of interaction with the computer. A recognition system is developed to translate hand gestures into key press events using only shape parameters. Real time system for hand gesture recognition is largely based on detection of meaningful shape based features. This paper is a survey on gesture recognition approaches in which includes static hand posture methods that are explained with different tools and algorithms applied on gesture recognition system namely hidden Markov model and fuzzy clustering.

Keywords: PUI, kinesis, k-means clustering, HMM, fuzzy c logic, threshold

 

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By | 2017-07-06T10:08:13+00:00 July 6th, 2017|Conference Publications|0 Comments

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