Abstract
Based on human-computer interaction, a wrist motor function rehabilitation training and evaluation system is developed for the treatment or improvement of wrist motor dysfunction. Specifically, the joint angle sensor and the MYO wristband are used to realize the perception of the wrist motion on the ROS, the wrist motor function rehabilitation training game with information feedback is designed, and the quantitative evaluation on the wrist motor function is realized. The experimental results demonstrate that in the rehabilitation training session, the online accuracy of wrist motion recognition is 95.2%, and in the evaluation session, the root mean square error of the measured and actual values of the wrist joint angle is less than 5°. The paper works provide the basis for further clinical experiments of the wrist motor function rehabilitation training and evaluation.
Research supported by the National Natural Science Foundation of China (61473265, 61803344), the Post-doctoral Funding in Henan province (001703041) and the Innovation Research Team of Science & Technology of Henan Province (17IRTSTHN013).
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Ren, H., Song, Q., Liu, Y. (2019). Wrist Motor Function Rehabilitation Training and Evaluation System Based on Human-Computer Interaction. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11741. Springer, Cham. https://doi.org/10.1007/978-3-030-27532-7_39
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DOI: https://doi.org/10.1007/978-3-030-27532-7_39
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