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

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

3403

Lastpage

3406

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259467

Filename

4462528