Title: MIMO human handwriting model in stochastic environment

Authors: Ines Chihi; Afef Abdelkrim

Addresses: Laboratory of Research in Automation (LARA), National School of Engineers of Tunis, Tunis El Manar University, BP 37, Le Belvédère, 1002 Tunis, Tunisia ' Laboratory of Research in Automation (LARA), National School of Engineers of Tunis, Tunis El Manar University, BP 37, Le Belvédère, 1002 Tunis, Tunisia; National Engineering School of Carthage, University of Carthage, 35 rue des Entrepreneurs, Charguia 2, 2035, Tunisia

Abstract: The present paper deals with a multi inputs multi outputs (MIMO) human handwriting model to characterise the pen-tip displacement on the plan from two forearm muscles activities, called electromyography signals (EMG). The proposed model takes into account perturbations and incertitude whish can affect the handwriting process (instability of the writing support, psychical state of the writer, brusque movement, etc.). In this sense, an experimental approach was presented to record the displacements of a pen-tip moving on the plane and two EMG signals during the handwriting motion. The velocity of the writing and ARMAX structure are used to characterise this biological act. Recursive extended least square (RELS) algorithm is used to estimate the parameters of the proposed handwriting model. The obtained structure shows good concordance with the experimental recorded data.

Keywords: MIMO handwriting model; pen-tip displacement; perturbations and incertitude; electromyography signals; EMG; velocity of the writing; ARMAX structure; recursive extended least square algorithm.

DOI: 10.1504/IJBET.2019.100271

International Journal of Biomedical Engineering and Technology, 2019 Vol.29 No.4, pp.366 - 384

Received: 21 Apr 2016
Accepted: 25 Nov 2016

Published online: 20 Jun 2019 *

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