FPGA-based Lightweight QDS-CNN System for sEMG Gesture and Force Level Recognition

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Real-Time sEMG Processing with Spiking Neural Networks on a Low-Power 5K-LUT FPGA

MA Scrugli, G Leone, P Busia, L Raffo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The accurate modeling of hand movement based on the analysis of surface
electromyographic (sEMG) signals offers exciting opportunities for the development of …
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