Title :
A simple highly efficient non invasive EMG-based HMI
Author :
Vitiello, N. ; Olcese, U. ; Oddo, C.M. ; Carpaneto, J. ; Micera, S. ; Carrozza, M.C. ; Dario, P.
Author_Institution :
ARTS Lab., Scuola Superiore Sant´´Anna, Pisa
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
Muscle activity recorded non-invasively is sufficient to control a mobile robot if it is used in combination with an algorithm for its asynchronous analysis. In this paper, we show that several subjects successfully can control the movements of a robot in a structured environment made up of six rooms by contracting two different muscles using a simple algorithm. After a small training period, subjects were able to control the robot with performances comparable to those achieved manually controlling the robot
Keywords :
biomechanics; electromyography; feature extraction; finite state machines; man-machine systems; medical robotics; medical signal processing; mobile robots; signal classification; signal sampling; EMG signals; EMG-based human machine interface; asynchronous analysis; feature extraction; finite state controller; mobile robot; movement control; muscle activity; real-time control; signal classification; signal sampling; structured environment; Automatic control; Electromyography; Forward contracts; Indoor environments; Mobile robots; Muscles; Pattern analysis; Robot control; Robot sensing systems; Signal analysis; EMG signals; finite state controller; real-time control;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259467
