Neural Networks Controler of a Lower Limbs Robotic Rehabilitation Chair

M. A. Mamou, N. Saadia

Abstract

In this paper, we propose a new control law using a kinematic model based on a Feed forward neural network (FFNN). This controller is designed for the control of a robotic rehabilitation chair of the lower limbs designed and created in the LRPE laboratory, with high accuracy. The results of the validation tests, show that the lower limb joints trajectories of the proposed control law are similar to the physiological joints trajectories of a patient. This demonstrates that the proposed control law provides a high performance and a fast convergence with extremely low error.

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Paper Citation


in Harvard Style

A. Mamou M. and Saadia N. (2014). Neural Networks Controler of a Lower Limbs Robotic Rehabilitation Chair . In Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2014) ISBN 978-989-758-013-0, pages 65-71. DOI: 10.5220/0004700700650071


in Bibtex Style

@conference{biodevices14,
author={M. A. Mamou and N. Saadia},
title={Neural Networks Controler of a Lower Limbs Robotic Rehabilitation Chair},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2014)},
year={2014},
pages={65-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004700700650071},
isbn={978-989-758-013-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2014)
TI - Neural Networks Controler of a Lower Limbs Robotic Rehabilitation Chair
SN - 978-989-758-013-0
AU - A. Mamou M.
AU - Saadia N.
PY - 2014
SP - 65
EP - 71
DO - 10.5220/0004700700650071