Hand Gesture Recognition

Dr. Nitika Arora

Abstract In this paper, hand tracking and gesture recognition based on the Leap Motion device and surface electromyography (SEMG) is introduced. The system is about to process the depth image information and the electrical activity produced by skeletal muscles on forearm. The purpose of such combination is improvement in the gesture recognition rate. As a first we analyze the conventional approaches toward hand tracking and gesture recognition and present the results of various researches. Successive topic gives brief overview of depthsensing cameras with focus on Leap motion device where we test its accuracy of fingers recognition. The vision-SEMG-based system is to be applicable to many areas of human computer interaction. Keywords: Depth-sensing camera, electromyography, gesture recognition, hand tracking, Leap Motion.

Title:	Hand Gesture Recognition
Author Name:	Dr. Nitika Arora
Abstract:	Abstract In this paper, hand tracking and gesture recognition based on the Leap Motion device and surface electromyography (SEMG) is introduced. The system is about to process the depth image information and the electrical activity produced by skeletal muscles on forearm. The purpose of such combination is improvement in the gesture recognition rate. As a first we analyze the conventional approaches toward hand tracking and gesture recognition and present the results of various researches. Successive topic gives brief overview of depthsensing cameras with focus on Leap motion device where we test its accuracy of fingers recognition. The vision-SEMG-based system is to be applicable to many areas of human computer interaction. Keywords: Depth-sensing camera, electromyography, gesture recognition, hand tracking, Leap Motion.
Cite this article:	Dr. Nitika Arora , " Hand Gesture Recognition " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 6, Issue 4, July - August 2017 , pp. 080-083 , ISSN 2278-6856.
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