Vision Based Hand Gesture Recognition

• Main Authors: Pragati Garg, Aggarwal, Naveen, Sofat, Sanjeev
• Format: Text
• Language: English
• Published: Zenodo 2009
• Subjects: Computer Vision; Hand Gesture; Hand Posture; Human Computer Interface.; Canada; Gillam; laptev
• Online Access: https://dx.doi.org/10.5281/zenodo.1074854; https://zenodo.org/record/1074854

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 text-based interfaces through 2D graphical-based interfaces, multimedia-supported interfaces, to fully fledged multi-participant Virtual Environment (VE) systems. Imagine the human-computer 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. : {"references": ["A. 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