Virtual reality training system for upper limb rehabilitation

Author(s):  
Xingming Wu ◽  
Haipeng Liu ◽  
Jianbin Zhang ◽  
Weihai Chen
2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jing Chen

In order to make most patients recover most of their limb functions after rehabilitation training, virtual reality technology is an emerging human-computer interaction technology, which uses the computer and the corresponding application software to build the virtual reality environment. Completing the training tasks in the virtual environment attracts the patients to conduct repeated training in the game and task-based training mode and gradually realizes the rehabilitation training goals. For the rehabilitation population with certain exercise ability, the kinematics of human upper limbs is mainly analyzed, and the virtual reality system based on HTC VIVE is developed. The feasibility and work efficiency of the upper limb rehabilitation training system were verified by experiments. Adult volunteers who are healthy and need rehabilitation training to participate in the experiment were recruited, and experimental data were recorded. The virtual reality upper limb rehabilitation system was a questionnaire. By extracting the motion data, the system application effect is analyzed and evaluated by the simulation diagram. Follow-up results of rehabilitation training showed that the average score of healthy subjects was more than 4 points and 3.8 points per question. Therefore, it is feasible to perform upper limb rehabilitation training using the HTC VIVE virtual reality rehabilitation system.


2018 ◽  
Vol 7 (2.28) ◽  
pp. 119
Author(s):  
Hongbo Wang ◽  
Musong Lin ◽  
Zhennan Lin ◽  
Xincheng Wang ◽  
Jianye Niu ◽  
...  

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. 


2016 ◽  
Vol 44 (11) ◽  
pp. 1800-1805 ◽  
Author(s):  
Takehiro Miki ◽  
Toshinori Iwai ◽  
Kazunori Kotani ◽  
Jianwu Dang ◽  
Hideyuki Sawada ◽  
...  

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