A Review on Vision-Based Hand Gesture Recognition and Applications

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Author(s): Ananya Choudhury (Gauhati University, India), Anjan Kumar Talukdar (Gauhati University, India)and Kandarpa Kumar Sarma (Gauhati University, India)
Copyright: 2015
Pages: 26
Source title: Intelligent Applications for Heterogeneous System Modeling and Design
Source Author(s)/Editor(s): Kandarpa Kumar Sarma (Gauhati University, India), Manash Pratim Sarma (Gauhati University, India)and Mousmita Sarma (SpeecHWareNet (I) Pvt. Ltd, India)
DOI: 10.4018/978-1-4666-8493-5.ch011

Keywords: Computer Science & IT / Information Science Reference / Systems & Software Design / Systems and Software Engineering

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Abstract

In the present scenario, vision based hand gesture recognition has become a highly emerging research area for the purpose of human computer interaction. Such recognition systems are deployed to serve as a replacement for the commonly used human-machine interactive devices such as keyboard, mouse, joystick etc. in real world situations. The major challenges faced by a vision based hand gesture recognition system include recognition in complex background, in dynamic background, in presence of multiple gestures in the background, under variable lighting condition, under different viewpoints etc. In the context of sign language recognition, which is a highly demanding application of hand gesture recognition system, coarticulation detection is a challenging task. The main objective of this chapter is to provide a general overview of vision based hand gesture recognition system as well as to bring into light some of the research works that have been done in this field.

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A Review on Vision-Based Hand Gesture Recognition and Applications

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