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All Journal IAES International Journal of Robotics and Automation (IJRA)
Mohamed Benrejeb
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Automotive Engineering Electrical & Electronics Engineering

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Manuscript shapes generated by novel bi-axis control algorithm based on a mathematical handwriting model Imene Mahmoud; Ines Chihi; Afef Abedlkrim; Mohamed Benrejeb
IAES International Journal of Robotics and Automation (IJRA) Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (800.486 KB) | DOI: 10.11591/ijra.v4i3.pp230-242

Abstract

Handwriting movement is one of the most complex activities of human motions. It’s a blend of kinesthetic, cognitive, perceptual and motor components. The study of this biological process shows that bell-shaped velocity profiles are generally observed in the handwriting motion. In this paper, an identification technique, based on Recursive Least Square algorithm (RLS), is proposed to identify the pen-tip movement in human handwriting process, by using input and output data which present EMG signals and velocities according to x and y coordinates.  Using the estimated coordinates that have resulted from the velocity model; we propose a novel algorithm to generate handwritten graphic traces, which is inspired from the idea of tracing circles by Bresenham bi-axis control algorithm. The effectiveness of this approach should be observed on predicting cursive Arabic letters and Arabic word written on (x,y) plane, these shapes constituting a recorded experimental basis.
Co-Authors Afef Abedlkrim Imene Mahmoud Ines Chihi