Hand gesture recognition with deep residual network using Semg signal
CONCLUSIONS: The hand gesture recognition using the proposed model is accurate and improves the effectiveness of the recognition.PMID:38456275 | DOI:10.1515/bmt-2023-0208
Source: Biomedizinische Technik/Biomedical Engineering - Category: Biomedical Engineering Authors: Abid Saeed Khattak Azlan Bin Mohd Zain Rohayanti Binti Hassan Fakhra Nazar Muhammad Haris Bilal Ashfaq Ahmed Source Type: research