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Modeling of an Intuitive Gesture Recognition System

IJCA Special Issue on Advanced Computing and Communication Technologies for HPC Applications
© 2012 by IJCA Journal
ACCTHPCA - Number 4
Year of Publication: 2012
Nithish R
Unnikrishnan T A

Nithish R and Unnikrishnan T A. Article: Modeling of an Intuitive Gesture Recognition System. IJCA Special Issue on Advanced Computing and Communication Technologies for HPC Applications ACCTHPCA(4):41-45, July 2012. Full text available. BibTeX

	author = {Nithish R and Unnikrishnan T A},
	title = {Article: Modeling of an Intuitive Gesture Recognition System},
	journal = {IJCA Special Issue on Advanced Computing and Communication Technologies for HPC Applications},
	year = {2012},
	volume = {ACCTHPCA},
	number = {4},
	pages = {41-45},
	month = {July},
	note = {Full text available}


This paper presents a brief study of the various techniques that are used to model the intuitive gestures, in particular the gestures involving the hands. Here we study mainly three techniques: Haar Classifiers, Hidden Markov Model & Vision Based Tracking Using Color Markers. We also design a gesture based interaction system using vision based tracking using color markers to interact with the computer. The system uses both static & interactive gestures.


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