The Mechanical and System Design of Finger Training Rehabilitation Device Based on Speech Recognition
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Sun Guangmin, Li Jun, Zhang Junjie, et al. Design and implementation of upper limb rehabilitation network system based on Kinect. Computer Measurement and Control, 2018, 26(11): 190-194.
Wang Junhua, Wu Jun. Design of training module for exercise feedback virtual reality limb rehabilitation system. Chinese Rehabilitation Theory and Practice, 2019, 25(07): 845-848.
Di Haitao. Mechanical design and analysis of finger rehabilitation training device. Yanshan University, 2016.
Yu Shulan, Shi Jialu, Yu Na, et al. Interactive product design for elderly finger grip rehabilitation. Furniture, 2019,40(02):84-88+102.
Zhang Nan, Niu Baoshan, Wang Hongbo, et al. Design of the structure and control system of an auto-disturbance-rejection finger rehabilitation robot. Science Technology and Engineering, 2019,19(06):166-173.
Li Jinfang, Cai Jiahong, Tan Jing, et al. Methods of establishing personalized scenes in virtual rehabilitation training. Laboratory Research and Exploration, 2019, 38(10): 100-104+114.
Wang Shiyun, Teng Yan, Li Xiaoning, et al. Research on modeling and simulation of flexible knee rehabilitation devices. Mechanical Manufacturing and Automation, 2012, 41(02): 103-105.
Zeng Yingchun, Zhen Yan, Guo Qiaohong. The design and preliminary application of the cognitive assessment and rehabilitation system for cancer patients based on virtual reality technology. Chinese Nursing Management, 2020, 20(02):181-184.
Huang Jing, Wei Zhizhen, Li Guocui, et al. Research progress of upper limb exercise rehabilitation system combined with Kinect. Chinese Journal of Rehabilitation Medicine, 2017, 32(09): 1082-1086.
Zhang Shuyan, Zhao Jian, Shi Lijuan, et al. Research on dual end hearing impaired rehabilitation training system based on mobile and PC. Wireless Internet Technology, 2017(18): 140-142.
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