Virtual Reality Simulation of 5dof Upper-Limb Rehabilitation Robot Based on Fuzzy Neural Network

2011 ◽  
Vol 48-49 ◽  
pp. 1345-1350
Author(s):  
Xing Li ◽  
Jian Hui Wang ◽  
Xiao Ke Fang

In this paper, aiming at the structure of upper-limb rehabilitation robot, establish the model of algorithmic control based on fuzzy neural network and virtual reality simulation model for 5dof upper-limb rehabilitant robot, and take the elbow joint for example to do simulation analysis. The result of simulation shows the fuzzy neural network control is practicable and its control accuracy takes the precedence over the traditional methods. The virtual-reality simulation of 5dof upper-limb rehabilitation robot, which is benefit to understand the complex relationships among the objects, can emulate the features of real rehabilitation robot, laying a solid foundation for rehabilitation evaluation system and telemedicine.

2018 ◽  
pp. 1267-1287
Author(s):  
Wei Wei

This chapter mainly introduced the virtual reality as many benefits of robots involved in disability rehabilitation. According to the vision feedback and force feedback, the therapist can adjust his operation. Virtual reality technology can provide repeated practice, performance feedback and motivation techniques for rehabilitation training. Patients can learn motor skills in a virtual environment, and then transfer the skills to the real world. It is hopeful to achieve satisfactory outcome in the field of rehabilitation in the future. VR is mainly used for the upper-limb rehabilitation robot system in this article. The objective of robotic systems for disability rehabilitation are explored to divide the whole rehabilitation training process into three parts, earliest rehabilitation training, medium-term rehabilitation training and late rehabilitation training, respectively. Accordingly, brain-computer training modes, the master-slave training modes and the electromyogram (EMG) signals training modes are developed to be used in rehabilitation training to help stroke patients with hemiplegia to restore the motor function of upper limb. Aimed at the rehabilitation goal, three generations of VR rehabilitation system has designed. The first generation of VR rehabilitation system includes haptic device (PHANTOM Omni), an advanced inertial sensor (MTx) and a computer. The impaired hand grip the stylus of haptic device, the intact hand can control the impaired hand's motion based on the virtual reality scene. The second generation of the VR rehabilitation system is the exoskeleton robots structure. Two virtual upper limbs are portrayed in the virtual environment, simulated the impaired hand and the intact hand, respectively. The third generation is a novel VR-based upper limb rehabilitation robot system. In the system, the realization of virtual reality environment is implemented, which can potentially motivate patients to exercise for longer periods of time. Not only virtual images but also position and force information are sent to the doctors. The development of this system can be a promising approach for further research in the field of tele-rehabilitation science.


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