%0 Journal Article
%T EMG-BASED SYSTEM FOR BASIC HAND MOVEMENT RECOGNITION
%A CAMACHO NAVARRO
%A JHONATAN
%A LE¨®N-VARGAS
%A FABIAN
%A BARRERO P¨¦REZ
%A JAIME
%J DYNA
%D 2012
%I Universidad Nacional de Colombia
%X this paper presents a system for the automatic identification of six basic hand movements in healthy subjects based on a steady-state of electromyographic signals. the following basic hand motions were detected: opening, closing, flexion, extension, pronation, and supination, as well as the rest condition. a modular approach of pattern recognition with discrete wavelet transform, principal component analysis, and support vector machines was used to discriminate each movement. identification was completed off-line every 256 ms with a hardware-software interface composed of a signal acquisition system with two electromyographic differential channels using matlab£¿ and labview£¿ software. the system was trained and tested using five subjects of different gender, age, and physical complexion, with identification rates of up to 99.25 %.
%K electromyography
%K hand-prosthesis
%K pattern recognition
%K principal component analysis
%K discrete wavelet transform
%K support vector machines.
%U http://www.scielo.org.co/scielo.php?script=sci_abstract&pid=S0012-73532012000100005&lng=en&nrm=iso&tlng=en