Biological Feedback Controller Design for Handwriting Model

Mariem Badri,Ines Chihi,Afef Abdelkrim

doi:10.14569/ijacsa.2018.091169

Abstract

This paper deals with a feedback controller of PD (proportional, derivative) type applied to the process of handwriting. The considered model for this study describes the behavior of the system “hand and pen” to forearm muscles forces, applied for the production of handwriting. The applied approach considers memory recall of error signal between model outputs and experimental data to reach a desired trajectory position, a rapid dynamic and stable model response. The control technique is applied in order to expand the handwriting model response to a larger database of graphic traces. The obtained results illustrated the reliability of closed loop control to command the handwriting system, and to ensure its robustness against unknown inputs such as muscles forces that could vary from an individual to another and increase model complexity.

Highlights

Hand loss occurs due to different causes and has been increased in many countries
The main contribution of this paper is to model handwriting motion by a feedback controller wildly used in literature [1315]
The studied handwriting model estimated that the equivalent muscle forces, applied on the pen-tip, are loaded with two types of ElectroMyoGraphy signal (EMG) signals, measured on the surface of the forearm during the movement of the writing

Summary

INTRODUCTION

Hand loss occurs due to different causes and has been increased in many countries. It has without exception, profound economic psychological and social impacts. In the considered model we allow the integration of the human expertise decision in the studied system during the human handwriting motion, different elements react and intervene in the same time to produce homogeneous writing, readable and without deviation, such as the system of perception, the brain, the muscles, etc. In this context, [18,19] presented a generalized handwriting model and proved that the pen-tip position is detected by the eyes.

EXPERIMENTAL APPROACH

SYSTEM DESCRIPTION

Controller for the Handwriting System

PD feedback controller

CONCLUSION