Virtual reality training system based on lower limb rehabilitation robot
Authors:
- Zhennan LinZLZhennan Lin
- Xincheng WangXWXincheng Wang
- Luige VladareanuLuige Vladareanu
Open Access
- 16 May 2018
- journal article
- Published by Science Publishing Corporation in International Journal of Engineering & Technology
- Vol. 7 (2.28) , 119-122
Abstract
This paper presents a virtual reality training system for the lower limb rehabilitation robot, which can simulate the bike riding and encourage patients to join in the recovery training through the built-in competitive game. The virtual reality training is a variable speed active training under the constraint trajectory, and it has adapting training posture function which can provide individual riding training track according to the legs length of patients. The movement synchronization between the robot and virtual model is achieved by interaction control strategy, and robot can change the training velocity based on the signal from feedback terrains in game. A serious game about bike match in forest was designed, and the user can select the training level as well as change perspective through the user interface. The training can be paused at any time, and the timer function could reflect the recovery of patient. This paper presents a virtual reality training system for the lower limb rehabilitation robot, which can simulate the bike riding and encourage patients to join in the recovery training through the built-in competitive game. The virtual reality training is a variable speed active training under the constraint trajectory, and it has adapting training posture function which can provide individual riding training track according to the legs length of patients. The movement synchronization between the robot and virtual model is achieved by interaction control strategy, and robot can change the training velocity based on the signal from feedback terrains in game. A serious game about bike match in forest was designed, and the user can select the training level as well as change perspective through the user interface. The training can be paused at any time, and the timer function could reflect the recovery of patient.Keywords
This publication has 10 references indexed in Scilit:
- Toward Patients’ Motion Intention Recognition: Dynamics Modeling and Identification of iLeg—An LLRR Under Motion ConstraintsIEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016
- Teaching Training Method of a Lower Limb Rehabilitation RobotInternational Journal of Advanced Robotic Systems, 2016
- Upper-Extremity Rehabilitation Robot RehabRoby: Methodology, Design, Usability and ValidationInternational Journal of Advanced Robotic Systems, 2013
- Rehabilitative training and plasticity following spinal cord injuryExperimental Neurology, 2012
- Full body interaction for serious games in motor rehabilitation2011
- Spinal cord injury and plasticity: Opportunities and challengesBrain Research Bulletin, 2011
- 24 A Wrist Extension for MIT-MANUS2006
- Virtual Environments for Motor Rehabilitation: ReviewCyberPsychology & Behavior, 2005
- Upper Limb Robot Mediated Stroke Therapy—GENTLE/s ApproachAutonomous Robots, 2003
- Locomotor Training After Human Spinal Cord Injury: A Series of Case StudiesPhysical Therapy, 2000