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  • Pozycja
    Analysis of Surface EMG Signals to Control of a Bionic Hand Prototype
    (Wydawnictwo Politechniki Łódzkiej, 2023) Pieprzycki, Adam; Król, Daniel; Wawryka, Piotr; Łachut, Katarzyna; Hamera, Mateusz; Srebro, Bartosz
    The aim of the presented project is to develop a comprehensive system for acquiring surface EMG data and carry out time-frequency analysis to determine useful parameters for subsequent gesture classification for a simple bionic hand prosthesis. This system is expected to assist in controlling both the prosthetic hand and the robotic hand in making precise gestures with the fingers on the hand. The article presents the methods for acquiring and processing multi-channel EMG signals and feature extraction for gesture recognition by an artificial neural network (ANN).