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A VR-based Upper Limb Rehabilitation Hand Robotic Training System
| Content Provider | Semantic Scholar |
|---|---|
| Author | Guo, Jian Guo, Shuxiang |
| Copyright Year | 2018 |
| Abstract | With the development of science and technology, virtual reality technology has been applied to various fields. Virtual reality technology is proposed into rehabilitation medical treatment, which can avoid dull rehabilitation training, improve the initiative of patients' rehabilitation and improve the overall effect of rehabilitation training. In order to help patients with hand grab function training, we proposed a virtual reality-based upper limb rehabilitation hand training system. In this paper, we can obtain the bending angle data of fingers and force feedback through the upper limb rehabilitation hand robot with CyberGlove. We established the high precise 3D model, set up the mapping relationship between CyberGlove and the virtual hand to realize the human-computer interaction. Based on the previous work, a VR-based upper limb rehabilitation hand robotic training system is proposed and has collision detection and force feedback, which makes users feel more realistic when interacting with objects in the virtual environment. The relevant verification experiment confirmed that virtual hand and upper limb rehabilitation robot interact well, which increases the interest of training. |
| Starting Page | 2364 |
| Ending Page | 2369 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| DOI | 10.1109/icma.2018.8484621 |
| Alternate Webpage(s) | http://guolab.org/Papers/2018/ICMA2018-414.pdf |
| Alternate Webpage(s) | https://doi.org/10.1109/icma.2018.8484621 |
| Journal | 2018 IEEE International Conference on Mechatronics and Automation (ICMA) |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
