中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): A Visual Based Robot Trajectory Teaching Method for Traditional Chinese Medical Moxibustion Therapy
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A Visual Based Robot Trajectory Teaching Method for Traditional Chinese Medical Moxibustion Therapy
Jiaxun Liu; Qujiang Lei; Yukai Qiao; Guangchao Gui; Xiuhao Li; Jintao Jin and Weijun Wang
2020
Conference Name2020 IEEE 6th International Conference on Computer and Communications (ICCC)
Conference Date2020
Conference Place四川
AbstractAt present, Chinese traditional physiotherapy is more and more trusted and valued by people, among which moxibustion is a very effective treatment. In order to improve the efficiency of human-computer interaction and help physiotherapists to use robots to replace human power, this paper proposes a visual based robot arm trajectory teaching method. The physiotherapy staff only needs to use an optical marker to demonstrate the therapeutic trajectory on the patient's back, and the robotic arm can pick up the expected trajectory and repeat the same work. We use LK optical flow algorithm to obtain marker's motion trajectory, and then smoothen the trajectory through SG filter, which is more executable for robot arm. Finally, we design an experiment and simulate it on MATLAB to obtain the accuracy of the trajectory and the results is impressive.
Department南沙所-机器人中心
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.siat.ac.cn/handle/172644/18359
Collection南沙所
Recommended Citation
GB/T 7714
Jiaxun Liu,Qujiang Lei,Yukai Qiao,et al. A Visual Based Robot Trajectory Teaching Method for Traditional Chinese Medical Moxibustion Therapy[C],2020.
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