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Details for article 5 of 25 found articles
| Title: |
An Intelligent Multilingual Mouse Gesture Recognition System |
| Author: |
Nidal F. Shilbayeh and Mahmoud Z. Iskandarani |
| Appeared in: |
Journal of computer science |
| Paging: | Volume 1 (2005) nr. 3 pages 346-350 |
| Year: |
2005 |
| Contents: |
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. |
| Publisher: |
Science Publications (provided by DOAJ) |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 5 of 25 found articles
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