@inproceedings{9bdb99258604409cb24858f54b7b7ffc,
title = "Research on Virtual Training System for Intelligent Upper Limb Prosthesis with Bidirectional Neural Channels",
abstract = "The training is very important for the application of electromyography (EMG) prosthesis. Because the traditional training with physical prostheses is inefficient and boring, the virtual training system, which has natural advantages in terms of intuitiveness and interactivity, is more widely used. In this study, a virtual training system for intelligent upper limb prosthesis with bidirectional neural channels has been developed. The training system features motion and sensation neural interaction, which is realized by an EMG control module and sense feedback module based on vibration stimulation. A Human-machine closed-loop interaction training based on the virtual system is studied. The experiments are carried out, and the effectiveness of the virtual system in shortening the training time and improving the operation ability of prosthesis has been verified.",
keywords = "Intelligent prosthesis, Neural control, Perception, Virtual training system",
author = "Yawen Hu and Li Jiang and Bin Yang",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 14th International Conference on Intelligent Robotics and Applications, ICIRA 2021 ; Conference date: 22-10-2021 Through 25-10-2021",
year = "2021",
doi = "10.1007/978-3-030-89134-3\_29",
language = "英语",
isbn = "9783030891336",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "314--323",
editor = "Xin-Jun Liu and Zhenguo Nie and Jingjun Yu and Fugui Xie and Rui Song",
booktitle = "Intelligent Robotics and Applications - 14th International Conference, ICIRA 2021, Proceedings",
address = "德国",
}