INGI Seminars
29 March 2024
12:50-14:00
Free
Louvain-la-Neuve
BARB01
An Embedding-based approach for Motor Imagery classification
by Quentin Langlois, Phd at UCLouvain/ICTEAM/INGI
Electroencephalography (EEG) is an electrical signal captured by electrodes, representing the brain activity of a subject.
In recent years, Deep Learning techniques have been extensively studied for analyzing such signals in various applications, including Motor Imagery (MI) decoding. MI decoding can be used to control applications, or to aid in patient rehabilitation.