Accompaniment code for the manuscript 'Hilbert sEMG data scanning for hand gesture recognition based on deep learning' published in Springer Neural Computing and Applications (NCAA) DOI: ...
Abstract: Decoding continuous human motion from surface electromyography (sEMG) in advance is crucial for improving the intelligence of exoskeleton robots. However, incomplete sEMG signals are ...
Abstract: The accurate modeling of hand movement based on the analysis of surface electromyographic (sEMG) signals offers exciting opportunities for the development of complex prosthetic devices and ...
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Background/aims Surface electromyography (sEMG) is a commonly used technique to investigate muscle activation and fatigue, which is non-invasive and can allow for continuous measurement. Systematic ...
Sports injuries commonly occur in competitive sports, public fitness, and daily life, with an incidence of up to 10-20%, which seriously affects people's working ability and quality of life. Sports ...