2024
DOI: 10.1109/jsen.2024.3359917
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Event-based Estimation of Hand Forces from High-Density Surface EMG on a Parallel Ultra-Low-Power Microcontroller

Marcello Zanghieri,
Pierangelo Maria Rapa,
Mattia Orlandi
et al.

Abstract: parallelism shortens latency Real-time embedded force estimation β€’ accurate & all-fingers β€’ robust cross-day High-Density sEMG Spike trains parallel ultra-low power MCU LIF Neurons 𝐝𝒙 𝐝𝒕 = π’™ππ«π’π―πž βˆ’ 𝒙 𝝉 deployment of selected LIFs' dynamics and fitted inference heuristic feature selection reduces computation workload fit of linear readout Abstract-Modeling hand kinematics and dynamics is a key goal for research on Human-Machine Interfaces, with surface electromyography (sEMG) being the most commonly… Show more

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