@article {10.3844/jcssp.2005.346.350,
article_type = {journal},
title = {An Intelligent Multilingual Mouse Gesture Recognition System},
author = {Shilbayeh, Nidal F. and Iskandarani, Mahmoud Z.},
volume = {1},
number = {3},
year = {2005},
month = {Sep},
pages = {346-350},
doi = {10.3844/jcssp.2005.346.350},
url = {https://thescipub.com/abstract/jcssp.2005.346.350},
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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}