An Intelligent Multilingual Mouse Gesture Recognition System
Abstract
A comprehensive mouse gesture system is designed and tested successfully. The system is based on UNIPEN algorithm in terms of mouse movements and applies its geometrical principles such as angles and transposition steps. The system incorporates Neural Networks as its learning and recognition engine. The designed algorithm is not only capable of translating discrete gesture moves, but also continuous sentences and complete paragraphs. Hopfield Network is also used for initial learning to add a feature of language independence to the system.
DOI: https://doi.org/10.3844/jcssp.2005.346.350
Copyright: © 2005 Nidal F. Shilbayeh and Mahmoud Z. Iskandarani. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Mouse Gesture
- Neural Network
- Hopfield Neural Network
- Pattern Recognition
- Algorithm
- Dynamic Sampling