Handwriting Velocity Modeling by Artificial Neural Networks

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Mohamed Aymen Slim ; Afef Abdelkrim ; Mohamed Benrejeb (2014)

Related identifiers: doi: 10.5281/zenodo.1097237, doi: 10.5281/zenodo.1097236
Subject: ElectroMyoGraphic (EMG) signals | Experimental approach | Handwriting process | Radial Basis Functions (RBF) neural networks | Velocity Modeling.

The handwriting is a physical demonstration of a complex cognitive process learnt by man since his childhood. People with disabilities or suffering from various neurological diseases are facing so many difficulties resulting from problems located at the musc... View more

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