Towards Developing an Effective Hand Gesture Recognition System for Human Computer Interaction: A Literature Survey
Towards Developing an Effective Hand Gesture Recognition System for Human Computer Interaction: A Literature Survey
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Keywords

hand gesture recognition
neural network (NN)
hidden markov model (HMM)
support vector machine (SVM)
principle component analysis (PCA)

How to Cite

Santosh Choudhary. (2016). Towards Developing an Effective Hand Gesture Recognition System for Human Computer Interaction: A Literature Survey. Global Journal of Computer Science and Technology, 16(F2), 1–8. Retrieved from https://gjcst.com/index.php/gjcst/article/view/720

Abstract

Gesture recognition is a mathematical analysis of movement of body parts hand face done with the help of computing device It helps computers to understand human body language and build a more powerful link between humans and machines Many research works are developed in the field of hand gesture recognition Each works have achieved different recognition accuracies with different hand gesture datasets however most of the firms are having insufficient insight to develop necessary achievements to meet their development in real time datasets Under such circumstances it is very essential to have a complete knowledge of recognition methods of hand gesture recognition its strength and weakness and the development criteria as well Lots of reports declare its work to be better but a complete relative analysis is lacking in these works In this paper we provide a study of representative techniques for hand gesture recognition recognition methods and also presented a brief introduction about hand gesture recognition The main objective of this work is to highlight the position of various recognition techniqueswhich can indirectly help in developing new techniques for solving the issues in the hand gesture recognition systems Moreover we present a concise description about the hand gesture recognition systems recognition methods and the instructions for future research
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