@inproceedings{ff7a8e3e062e4be79f93b1c3e1144eb0,
title = "A novel EMG control method for multi-DOF prosthetic hands with electrical stimulation feedback",
abstract = "In this paper a novel bidirectional control scheme for multigrasp prosthetic hands with forward EMG control and backward sensory feedback is proposed. Based on the knowledge of grasp taxonomy and the principle of finite state machine (FSM), users can control multi-DOF prosthetic hands with the EMG control strategy to accomplish 7 most frequently used hand gestures, which occupy 85\% of hand usage in activities of daily life. Besides, to restore the comprehensive sense of control, the transcuataneous electrical nerve stimulation (TENS) is adopted to apperceive the gripping force. Experiments were conducted on a 5-DOF prosthetic hand to evaluate both the grasp success rate and the average grasp time, according to each grasp task. The results show that the proposed method can effectively recognize the contraction patterns with the grasp success rate of nearly 95\%, and the control state can be rapidly switched with the average operation time less than 20 seconds, which in all ensures fluent hand grasps.",
keywords = "EMG Control, Electrical Stimulation, Prosthetic Hand",
author = "Qi Huang and Li Jiang and Dapeng Yang and Hong Liu",
year = "2013",
doi = "10.1007/978-3-642-40852-6\_23",
language = "英语",
isbn = "9783642408519",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "216--226",
booktitle = "Intelligent Robotics and Applications - 6th International Conference, ICIRA 2013, Proceedings",
address = "德国",
edition = "PART 1",
note = "6th International Conference on Intelligent Robotics and Applications, ICIRA 2013 ; Conference date: 25-09-2013 Through 28-09-2013",
}