DocumentCode :
3113827
Title :
A Review on Hand Gesture Recognition System
Author :
Sonkusare, Jayesh S. ; Chopade, Nilkanth B. ; Sor, Ravindra ; Tade, Sunil L.
Author_Institution :
VLSI & ES, PCCOE, Pune, India
fYear :
2015
fDate :
26-27 Feb. 2015
Firstpage :
790
Lastpage :
794
Abstract :
From the ancient age, gesture was the first mode of communication, after the evolution of human civilization they developed the verbal communication, but still non-verbal communication is equally significant. Such non-verbal communication is not only used for physically challenged person but also it can be efficiently used for various applications such as 3D gaming, aviation, surveying, etc. This is the best method to interact with computer without any peripheral devices. Many Researchers are still developing robust and efficient new hand gesture recognition techniques. The major steps associated while designing the system are: data acquisition, segmentation and tracking, feature extraction and gesture recognition. There´re different methodologies associated with several substepspresent at each step. A various segmentation and Tracking, feature extraction and recognition techniques are studied and analyzed. This paper reviews the comparative study of various hand gesture recognition techniques which are presented up-till now.
Keywords :
data acquisition; feature extraction; gesture recognition; image segmentation; object tracking; data acquisition; feature extraction; hand gesture recognition system; image segmentation; nonverbal communication; object tracking; Computers; Conferences; Feature extraction; Gesture recognition; Image segmentation; Solid modeling; Three-dimensional displays; Feature extraction; Hand gesture recognition; Segmentation & Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on
Conference_Location :
Pune
Type :
conf
DOI :
10.1109/ICCUBEA.2015.158
Filename :
7155956
Link To Document :
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