Authors : Charuta Ravindra S, Prof .S.S.Savkare

Volume/Issue : Volume 2 - 2017, Issue 6 - June

Google Scholar : https://goo.gl/Njvt2M

Scribd : https://goo.gl/omfScD

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

Abstract : This paper presents the embedded system, used to discuss work done in the area of hand gestures recognition where focus is on intelligent approaches including soft computing based methods like artificial neural network ,fuzzy logic, genetic algorithms etc. Hand gestures recognition (HGR) is one the main areas of research for the engineers, scientists and bioinformatics. Hand gestures recognition is the way of human machine interaction and today many researchers in the academia and industry are working on different application to make interactions more easy, natural and easy to use without wearing any extra device. Hand gestures recognition can be applied from games control to robot control in which vision is enabled from virtual reality to smart home systems. The methods in the preprocessing of image for image segmentation and hand image construction also taken into study. Most researchers used fingertips for hand detection in appearance based modeling. Finally the comparison of various results given by different people. Hand gesture recognition system received great attention in the recent few years because of its many applications and the ability to interact with machine efficiently through human computer interaction. In this paper a survey of recent hand gesture recognition systems is presented. Key issues of hand gesture recognition system are given with challenges of gesture system.

Keywords : Hand gestures recognition (HGR).