Empowering human-robot interaction using sEMG sensor: Hybrid deep learning model for accurate hand gesture recognition

Empowering human-robot interaction using sEMG sensor: Hybrid deep learning model for accurate hand gesture recognition

In this paper, a novel approach using a Henry Gas Solubility-based Stacked Convolutional Neural Network (HGS-SCNN) for hand gesture recognition using surface electromyography (sEMG) sensors is proposed. The stacked architecture of the CNN model helps to capture both low-level and high-level features...

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Bibliographic Details
Main Authors: Muhammad Hamza Zafar, Even Falkenberg Langås, Filippo Sanfilippo
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Results in Engineering
Subjects:
Surface EMG
Human-robot interaction
Deep learning
Discrete wavelet transform
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123023007661

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http://www.sciencedirect.com/science/article/pii/S2590123023007661

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