Gesture Recognition: A Survey of Gesture Recognition Techniques using Neural Networks

Authors

  • Mahesh Sharma

  • Mahesh Sharma

Keywords:

gesture recognition, artificial neural networks, pattern recognition

Abstract

Understanding human motions can be posed as a pattern recognition problem In order to convey visual messages to a receiver a human expresses motion patterns Loosely called gestures these patterns are variable but distinct and have an associated meaning The Pattern recognition by any computer or machine can be implemented via various methods such as Hidden Harkov Models Linear Programming and Neural Networks Each method has its own advantages and disadvantages which will be studied separately later on This paper reviews why using ANNs in particular is better suited for analyzing human motions patterns

How to Cite

Mahesh Sharma, & Mahesh Sharma. (2013). Gesture Recognition: A Survey of Gesture Recognition Techniques using Neural Networks. Global Journal of Computer Science and Technology, 13(D3), 21–22. Retrieved from https://computerresearch.org/index.php/computer/article/view/370

Gesture Recognition: A Survey of Gesture Recognition Techniques using Neural Networks

Published

2013-10-15