Title :
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
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;
Conference_Titel :
Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on
Print_ISBN :
0-7803-7736-2
DOI :
10.1109/ROBOT.2003.1241805
