<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/10237" mdate="2009-01-28 00:00:00"> <author>Pragati Garg and Naveen Aggarwal and Sanjeev Sofat</author> <title>Vision Based Hand Gesture Recognition</title> <pages>186 - 191</pages> <year>2009</year> <volume>3</volume> <number>1</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/10237</ee> <url>https://publications.waset.org/vol/25</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>With the development of ubiquitous computing, current user interaction approaches with keyboard, mouse and pen are not sufficient. Due to the limitation of these devices the useable command set is also limited. Direct use of hands as an input device is an attractive method for providing natural Human Computer Interaction which has evolved from textbased interfaces through 2D graphicalbased interfaces, multimediasupported interfaces, to fully fledged multiparticipant Virtual Environment (VE) systems. Imagine the humancomputer interaction of the future A 3Dapplication where you can move and rotate objects simply by moving and rotating your hand all without touching any input device. In this paper a review of vision based hand gesture recognition is presented. The existing approaches are categorized into 3D model based approaches and appearance based approaches, highlighting their advantages and shortcomings and identifying the open issues.</abstract> <index>Open Science Index 25, 2009</index> </article>