a survey analysis on: vision-based hand gesture recognition
J.P.Justina,Sangeetha Senthilkumar
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:1 Year: 14 November,2014 Pages:375-384
Abstract
Recognition of hand gestures has a significant impact on human society. It provides an opportunity for the physically impaired people to communicate with normal people those who are not familiar with the sign languages. It is a natural and intuitive way to provide the interaction between human and the computer. It provides touchless interaction and easy way to interact without any external devices. Hand segmentation is the most important step in every hand gesture recognition system since if we get better segmented output, better recognition rates can be achieved.
Kewords
Sign language recognition, Complex background, Particle filter, Support vector machines (SVM), Principal component analysis (PCA), Hidden Markov Model
Reference
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