Gesture Recognition: A Survey of Gesture Recognition Techniques using Neural Networks
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
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Published
2013-10-15
Issue
Section
License
Copyright (c) 2013 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.