8 citations · 14 across the 2 of their papers we have counts for
2 papers
eess.SP2025★ 6 cited
Developing RPC-Net: Leveraging High-Density Electromyography and Machine Learning for Improved Hand Position Estimation
Giovanni Rolandino, Marco Gagliardi, Taian Martins +3
Objective: The purpose of this study was to develop and evaluate the performance of RPC-Net (Recursive Prosthetic Control Network), a novel method using simple neural network archi…
eess.SP2025★ 8 cited
HDE-Array: Development and Validation of a New Dry Electrode Array Design to Acquire HD-sEMG for Hand Position Estimation
Giovanni Rolandino, Chiara Zangrandi, Taian Vieira +3
This paper aims to introduce HDE-Array (High-Density Electrode Array), a novel dry electrode array for acquiring High-Density surface electromyography (HD-sEMG) for hand position e…