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Hand Gesture Recognition: Survey Study


Ms. Pooja Dewangan , Bharti college of engineering and technology, Bhilai, India; Ms. Aditi Mishra, Bharti college of engineering and technology, Bhilai, India


Segmentation & Tracking, Feature Extraction, Hand Gesture Recognition


From the traditional age, gesture was the primary mode of communication, when the evolution of human civilization they developed the verbal communication, however still non-verbal communication is equally important. Such non-verbal communication is not solely used for physically challenged person however additionally it is expeditiously used for numerous applications like 3D gambling, aviation, surveying, etc. this can be the simplest technique to act with pc with none peripheral devices. Several Researchers are still developing sturdy and economical new hand gesture recognition techniques. The most important steps associated whereas coming up with the system are: information acquisition, segmentation and following, feature extraction and gesture recognition. There are totally different methodologies related to many sub-steps gift at every step. A numerous segmentation and following, feature extraction and recognition techniques are studied and analyzed. This paper reviews the comparative study of varied hand gesture recognition techniques that are bestowed up-till currently.

Other Details

Paper ID: IJSRDV7I30736
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 1289-1293

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