Title :
Dynamically Removing Partial Body Mass Using Acceleration Feedback for Neural Training
Author :
Ma, Ou ; Diao, Xiumin ; Martinez, Lucas ; Sarkodie-Gyan, Thompson
Author_Institution :
New Mexico State Univ., Las Cruces
Abstract :
This paper describes a control strategy for an active body suspension system for treadmill based neural rehabilitation or training devices. Using an acceleration feedback, the system behaves like dynamically removing part or all of the body mass of the trainee so that he/she will truly feel like having a reduced mass while being trained for walking, jogging, or other leg activities on a treadmill. It will be shown that the proposed controller can compensate any amount of inertia force which would not be present as if the trainee had a real reduced mass. As a result, the dynamic load on the trainee´s body as well as the supporting legs during an exercise will also be reduced correspondingly. Simulation results are presented to demonstrate the benefits of the actively controlled body suspension system.
Keywords :
acceleration control; biomechanics; feedback; handicapped aids; learning (artificial intelligence); medical robotics; patient rehabilitation; acceleration feedback; active body suspension system; control strategy; dynamic load; inertia force; jogging; leg activities; neural training; partial body mass; treadmill based neural rehabilitation device; walking; Acceleration; Aerospace engineering; Control systems; Counting circuits; Force control; Leg; Legged locomotion; Neurofeedback; Rehabilitation robotics; Weight control; Suspension; acceleration feedback; cable robot; neural training; rehabilitation;
Conference_Titel :
Rehabilitation Robotics, 2007. ICORR 2007. IEEE 10th International Conference on
Conference_Location :
Noordwijk
Print_ISBN :
978-1-4244-1319-5
Electronic_ISBN :
978-1-4244-1320-1
DOI :
10.1109/ICORR.2007.4428561