Configuring sensors by user learning for a locomotion aid interface

Author

Thieffry, R. ; Monacelli, E. ; Henaff, P. ; Delaplace, S.

Author_Institution

LIRIS, Universite de Versailles, Velizy, France

Volume

1

fYear

2003

fDate

14-19 Sept. 2003

Firstpage

1509

Abstract

This article presents a study about a mobility aid system, which integrates adaptive control interface for a robotic walker. The objective is to give to the patient more flexibility in the choice of a technical aid. The specificity of our system is based on an auto-adaptive interface, which improves the configuration choice of the patient´s driving commands. The results obtained from experimentations show the capabilities of our method for a technical aid. The learning process is applied on line to a neural network controller. The experiment is focused on sensors configuration and command of a powered walker interface.

Keywords

adaptive control; handicapped aids; learning systems; legged locomotion; neurocontrollers; patient care; sensors; user interfaces; adaptive control interface; auto-adaptive interface; handicaps; learning process; locomotion aid interface; mobile robots; mobility aid system; neural network controller; patients driving command; powered walker interface; robotic walker; sensor configuration; technical aids; user learning; Adaptive control; Humans; Intelligent sensors; Kinematics; Legged locomotion; Mobile robots; Neural networks; Pathology; Robot sensing systems; Wheelchairs;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on

ISSN

1050-4729

Print_ISBN

0-7803-7736-2

Type

conf

DOI

10.1109/ROBOT.2003.1241805

Filename

1241805