@inproceedings{6b5500115ca44075b768bbe35a4825f6,
title = "A soft robotic glove for hand rehabilitation training controlled by movements of the healthy hand",
abstract = "Most stroke patients with hand dysfunction have normal function of one side of the body and their intact musculoskeletal systems are intact. Their hand function can be recovered through rehabilitation training. In this paper, a 3D-printed pneumatic-driven soft robotic glove is designed for hand rehabilitation training controlled by the movements of the healthy hand. Data glove is used to collect the motion data of the healthy hand that is then used to control the robotic glove. Characterization tests of the glove were carried out to prove the feasibility of the soft robotic glove. The experimental results show that the robotic glove can assist users to complete the rehabilitation training task.",
author = "Min Li and Tianci Wang and Yueyan Zhuo and Bo He and Tangfei Tao and Jun Xie and Guanghua Xu",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 17th International Conference on Ubiquitous Robots, UR 2020 ; Conference date: 22-06-2020 Through 26-06-2020",
year = "2020",
month = jun,
doi = "10.1109/UR49135.2020.9144753",
language = "英语",
series = "2020 17th International Conference on Ubiquitous Robots, UR 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "62--67",
booktitle = "2020 17th International Conference on Ubiquitous Robots, UR 2020",
}