Optimizing the performance of convolutional neural network for enhanced gesture recognition using sEMG

Optimizing the performance of convolutional neural network for enhanced gesture recognition using sEMG

Abstract Deep neural networks (DNNs) have demonstrated higher performance results when compared to traditional approaches for implementing robust myoelectric control (MEC) systems. However, the delay induced by optimising a MEC remains a concern for real-time applications. As a result, an optimised...

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Bibliographic Details
Main Authors: Hassan Ashraf, Asim Waris, Syed Omer Gilani, Uzma Shafiq, Javaid Iqbal, Ernest Nlandu Kamavuako, Yaakoub Berrouche, Olivier Brüls, Mohamed Boutaayamou, Imran Khan Niazi
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-52405-9

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https://doi.org/10.1038/s41598-024-52405-9

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