Open AccessGESTURE RECOGNITION SYSTEM
Author(s) -
Akshay Srivastava,
Pranshi Agarwal,
Swati Agarwal,
Usha Sharma
Publication year - 2012
Publication title -
international journal of electronic signal and systems
Language(s) - English
Resource type - Journals
ISSN - 2231-5969
DOI - 10.47893/ijess.2012.1080
Subject(s) - gesture , computer vision , artificial intelligence , gesture recognition , computer science , centroid , face (sociological concept) , face detection , skin color , facial recognition system , pattern recognition (psychology) , social science , sociology
In this paper, the hand gesture of a person is recognised and it identifies which hand of the person is raised. The skin colour is taken to recognise hands and face and the dark background is taken so that the skin detection may become easier. The hands and face are differentiated on the basis of area and centroid. Camera is the only input device used in this algorithm. No other input device is used to differentiate hands from the remaining body. This algorithm can be used both on the captured images and real time images.