CNN-LSTM and post-processing for EMG-based hand gesture recognition

CNN-LSTM and post-processing for EMG-based hand gesture recognition

Hand Gesture Recognition (HGR) using electromyography (EMG) signals is a challenging problem due to the variability and noise in the signals across individuals. This study addresses this challenge by examining the effect of incorporating a post-processing algorithm, which filters the sequence of pre...

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Bibliographic Details
Main Authors: Lorena Isabel Barona López, Francis M. Ferri, Jonathan Zea, Ángel Leonardo Valdivieso Caraguay, Marco E. Benalcázar
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Intelligent Systems with Applications
Subjects:
Hand gesture recognition
EMG-EPN-612
Post-processing
Convolutional neural networks
Long short-term memory
EMG
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305324000280

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http://www.sciencedirect.com/science/article/pii/S2667305324000280

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