DocumentCode :
237949
Title :
Hand gesture recognition system for real-time application
Author :
Murugeswari, M. ; Veluchamy, S.
Author_Institution :
Commun. Syst., Anna Univ., Madurai, India
fYear :
2014
fDate :
8-10 May 2014
Firstpage :
1220
Lastpage :
1225
Abstract :
In recent years, several researches are being done to improve the means by which human to machine interaction. With the development of input devices like keyboard, mouse and pen are not sufficient due to this limitation direct use of hand gesture as an input device to provide natural human to machine interaction. The objective of this paper is to implement the vision based hand gesture recognition system to control the movement of robot. We can use of Scale invariant feature transform (SIFT) for extract the keypoint from the gesture image capture by single sensing device. Space incompatibility of SIFT keypoint causes bag of feature approach was introduced. Then use the vector quantization will map the keypoint extracted from SIFT into unified dimensional histogram vector after the K-mean clustering. The histogram vectors as an input to multiclass SVM classifier for recognize the gesture. Generate the grammar apply to the robot to control the movements (Left, Right, Straight ward, Backward, stop) of robot.
Keywords :
feature extraction; gesture recognition; image classification; pattern clustering; support vector machines; transforms; vector quantisation; SIFT; bag-of-feature approach; hand gesture recognition system; histogram vectors; k-means clustering; keypoint extraction; multiclass SVM classifier; robot movement control; scale invariant feature transform; single sensing device; support vector machine; unified dimensional histogram vector; vector quantization; Cameras; Feature extraction; Gesture recognition; Lighting; Robots; Support vector machines; Training; Bag-of-features; Human to machine interaction; K-mean; scale invariant feature transform (SIFT); support vector machine (SVM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4799-3913-8
Type :
conf
DOI :
10.1109/ICACCCT.2014.7019293
Filename :
7019293
Link To Document :
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