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Emg-based system for basic hand movement recognition

Camacho Navarro, Jhonatan and León Vargas, Fabian and Barrero Pérez, Jaime (2012) Emg-based system for basic hand movement recognition. Dyna; Vol. 79, núm. 171 (2012); 41-49 DYNA; Vol. 79, núm. 171 (2012); 41-49 2346-2183 0012-7353 .

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URL oficial: http://revistas.unal.edu.co/index.php/dyna/article...

Resumen

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 %.

Tipo de documento:Artículo - Article
Información adicional:Derechos de autor reservados
Palabras clave:Electromyography, hand-prosthesis, pattern recognition, principal component analysis, discrete wavelet transform, support vector machines
Unidad administrativa:Revistas electrónicas UN > Dyna
Código ID:30690
Enviado por : Dirección Nacional de Bibliotecas STECNICO
Enviado el día :30 Junio 2014 13:06
Ultima modificación:06 Junio 2018 10:58
Ultima modificación:06 Junio 2018 10:58
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