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Myoelectric control of robotic arm

Μυοηλεκτρικός έλεγχος ρομποτικού βραχίονα

Myoelectric control of robotic arm

Abstract

This diploma thesis investigates the possibility of real time of a robotic arm with EMG signal. The signal comes from the user performing static hand gestures. The signal is obtained with a custom built analog circuit that amplifies and filters it. Then the signal is sampled with a microprocessor. After proper processing data sets are created for pattern recognition. A Support Vector Μachine is trained to recognize the gestures. Based on the gesture a corresponding command is sent to a robotic arm.

Country
Greece
Related Organizations
Keywords

629.893 3, Ρομποτικοί βραχιόνες, Ηλεκτρομυογραφικά σήματα, Electromyography (EMG) signals, Support-vector machines (SVM), 620, Robotic arms

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average