Palavras-chave
Classification
Hand gestures
Como Citar
Resumo
The most used way to record hand gestures' information is through the Electromyography (EMG) technique. However, the research in the area is still fragmented. This study aimed at reproducing the high classification performance of hand gestures using EMG data reported in the literature, using a MyoArmband EMG equipment for data acquisition and an LDA classifier, and testing different features and feature selection techniques. The results showed that a performance of 75% is achievable with selected features.
Referências
Chen, X., & Wang, Z. J. (2013). Pattern recognition of number gestures based on a wireless surface EMG system. Biomedical Signal Processing and Control, 8(2), 184–192.
Phinyomark, A., Quaine, F., Charbonnier, S., Serviere, C., Tarpin-Bernard, F., & Laurillau, Y. (2013). EMG feature evaluation for improving myoelectric pattern recognition robustness. Expert Systems with Applications, 40(12), 4832–4840.
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