no code implementations • 28 Oct 2024 • Joao Pereira, Vasco Lopes, David Semedo, Joao Neves
The growing demand for surveillance in public spaces presents significant challenges due to the shortage of human resources.
no code implementations • 12 Sep 2024 • Joao Pereira, Michael Alummoottil, Dimitrios Halatsis, Dario Farina
Machine learning offers promising methods for processing signals recorded with wearable devices such as surface electromyography (sEMG) and electroencephalography (EEG).
no code implementations • 5 Jan 2024 • Joao Pereira, Dimitrios Chalatsis, Balint Hodossy, Dario Farina
sEMG pattern recognition algorithms have been explored extensively in decoding movement intent, yet are known to be vulnerable to changing recording conditions, exhibiting significant drops in performance across subjects, and even across sessions.
no code implementations • 12 Dec 2019 • Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel Yang, Anton Geraschenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, Joao Pereira, Michael Brenner, Lee Rubin, Brian Wainger, Marc Berndl
Confounding variables are a well known source of nuisance in biomedical studies.