Real-Time Classification of Multi-Channel Forearm EMG to Recognize Hand Movements using Effective Feature Combination and LDA Classifier

Electromyography (EMG) signals acquired from surface of arms can be crucial in recognizing nature of hand gestures. The concept is used in current highly demanding fields such as controlling prosthetic limbs, diagnosing neuromuscular disorders, manipulation of robotic arm etc. The purpose of the wor...

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Veröffentlicht in:	Bangladesh journal of medical physics 2018-12, Vol.10 (1), p.25-39
Hauptverfasser:	Alam, Muhammad Sabbir, Arefin, ASM Shamsul
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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