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| Vision Based Gesture Recognition Using Neural Networks Approaches: A Review
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Full
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 PDF(665.8KB) |
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Source |
International Journal of Human Computer Interaction (IJHCI) |
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Table of Contents |
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Download
Complete Issue PDF(738.11KB) |
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Volume: 3 Issue: 1 |
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Pages: NULL |
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Publication
Date: February 2012 |
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ISSN
(Online): 2180-1347 |
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Pages |
1 - 14 |
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Published
Date |
21-02-2012 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
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KEYWORDS: Neural Networks, Human Computer Interaction, Gesture Recognition System, Gesture Features, Static Gestures, Dynamic Gestures |
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| The aim of gesture recognition researches is to create system that easily identifies gestures, and use them for device control, or convey in formations. In this paper we are discussing researches done in the area of hand gesture recognition based on Artificial Neural Networks approaches. Several hand gesture recognition researches that use Neural Networks are discussed in this paper, comparisons between these methods were presented, advantages and drawbacks of the discussed methods also included, and implementation tools for each method were presented as well. |
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| Noor Adnan Ibraheem : Colleagues
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| Rafiqul Z. Khan : Colleagues
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