Fuzzy Control of a Robotic Arm using EMG Signals

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, dig...

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שמור ב:
מידע ביבליוגרפי
מחבר ראשי: Hidalgo, M. (author)
מחברים אחרים: Tene, G. (author), Sánchez Terán, Alberto (author)
פורמט: article
שפה:eng
יצא לאור: 2007
נושאים:
גישה מקוונת:http://bibdigital.epn.edu.ec/handle/15000/9302
תגים: הוספת תג
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תיאור
סיכום: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.