publication . Other literature type . Article . 2014

Handwriting Velocity Modeling by Artificial Neural Networks

Slim, Mohamed Aymen; Afef Abdelkrim; Benrejeb, Mohamed;
Open Access English
  • Published: 22 Dec 2014
  • Publisher: Zenodo
Abstract
The handwriting is a physical demonstration of a<br> complex cognitive process learnt by man since his childhood. People<br> with disabilities or suffering from various neurological diseases are<br> facing so many difficulties resulting from problems located at the<br> muscle stimuli (EMG) or signals from the brain (EEG) and which<br> arise at the stage of writing. The handwriting velocity of the same<br> writer or different writers varies according to different criteria: age,<br> attitude, mood, writing surface, etc. Therefore, it is interesting to<br> reconstruct an experimental basis records taking, as primary<br> reference, the writing speed for different wr...
Subjects
free text keywords: ElectroMyoGraphic (EMG) signals, Experimental approach, Handwriting process, Radial Basis Functions (RBF) neural networks, Velocity Modeling.
Zenodo
Other literature type . 2014
Provider: Datacite
ZENODO
Article . 2014
Provider: ZENODO
ZENODO
Article . 2014
Provider: ZENODO
Zenodo
Other literature type . 2014
Provider: Datacite
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