2 citations · 3 across the 4 of their papers we have counts for
5 papers
Lightweight Test-Time Adaptation for EMG-Based Gesture Recognition
Nia Touko, Matthew O A Ellis, Cristiano Capone +3
Reliable long-term decoding of gestures from surface electromyography (EMG) is hindered by signal drift caused by electrode displacement, muscle fatigue, and/or posture changes. Al…
Queen Detection in Beehives via Environmental Sensor Fusion for Low-Power Edge Computing
Chiara De Luca, Elisa Donati
Queen bee presence is essential for the health and stability of honeybee colonies, yet current monitoring methods rely on manual inspections that are labor-intensive, disruptive, a…
Heterogeneous Population Encoding for Multi-joint Regression using sEMG Signals
Farah Baracat, Luca Manneschi, Elisa Donati
Regression-based decoding of continuous movements is essential for human-machine interfaces (HMIs), such as prosthetic control. This study explores a feature-based approach to enco…
Evaluation of Encoding Schemes on Ubiquitous Sensor Signal for Spiking Neural Network
Sizhen Bian, Elisa Donati, Michele Magno
Spiking neural networks (SNNs), a brain-inspired computing paradigm, are emerging for their inference performance, particularly in terms of energy efficiency and latency attributed…
Noise-Aware Training of Neuromorphic Dynamic Device Networks
Luca Manneschi, Ian T. Vidamour, Kilian D. Stenning +13
Physical computing has the potential to enable widespread embodied intelligence by leveraging the intrinsic dynamics of complex systems for efficient sensing, processing, and inter…