Title :
EMG pattern recognition by neural networks for multi fingers control
Author :
Uchida, Noriyoshi ; Hiraiwa, Akira ; Sonehara, Noboru ; Shimohara, Katsunori
Author_Institution :
NTT Human Interface Labs., NIPPON TELEGRAPH & TELEPHONE Corp, Yokosuka, Japan
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
This paper proposes that EMG patterns can be analyzed and classified by neural networks. Through experiments and on-line simulations, it is demonstrated that recognition of not only finger movement but also joint angles in continuously finger movement, based on EMG patterns, can be successfully accomplished.We also demonstrate a EMG controlled 5 fingers 10 joints robot hand.
Keywords :
biomechanics; electromyography; medical robotics; medical signal processing; neural nets; pattern recognition; signal classification; EMG pattern recognition; finger movement; joint angle; multifinger control; neural network; robot hand; signal classification; Artificial neural networks; Electromyography; Fingers; Joints; Pattern recognition; Robots;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761230
