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Fuzzy Control of a Robotic Arm using EMG Signals

2007-03-21T15:57:49Z

This paper presents the control design of a robotic arm employing Fuzzy algorithms to interpret electromiographic (EMG) signals from the Flexor Carpi Radialis, Extensor Carpi Radialis and Biceps Brachii muscles. The control and aquisition systems is composed of a microprocessor, analog filtering, digital filtering and frequency analysis, and finally a fuzzy control system. The system has been implemented over a MICROCHIP PIC 16F876 and LabVIEW.

Escuela Politécnica Nacional - Biblioteca Central

Olga de Beltrán

Ladrón de Guevara E11-253 y Andalucía.


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