Intelligent Approaches to interact with Machines using Hand Gesture\n Recognition in Natural way: A Survey

摘要

Hand gestures recognition (HGR) is one of the main areas of research for the\nengineers, scientists and bioinformatics. HGR is the natural way of Human\nMachine interaction and today many researchers in the academia and industry are\nworking on different application to make interactions more easy, natural and\nconvenient without wearing any extra device. HGR can be applied from games\ncontrol to vision enabled robot control, from virtual reality to smart home\nsystems. In this paper we are discussing work done in the area of hand gesture\nrecognition where focus is on the intelligent approaches including soft\ncomputing based methods like artificial neural network, fuzzy logic, genetic\nalgorithms etc. The methods in the preprocessing of image for segmentation and\nhand image construction also taken into study. Most researchers used fingertips\nfor hand detection in appearance based modeling. Finally the comparison of\nresults given by different researchers is also presented.\n