2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDBIO-1.3
Paper Title RIEMANNIAN GEOMETRY ON CONNECTIVITY FOR CLINICAL BCI
Authors Marie-Constance Corsi, Aramis lab, Paris Brain Institute, France; Florian Yger, LAMSADE, Univ Paris-Dauphine, France; Sylvain Chevallier, LISV, Univ Paris-Saclay, France; Camille Noûs, Cogitamus, CNRS, France
SessionBIO-1: Brain-Computer Interfaces
LocationGather.Town
Session Time:Tuesday, 08 June, 13:00 - 13:45
Presentation Time:Tuesday, 08 June, 13:00 - 13:45
Presentation Poster
Topic Biomedical Imaging and Signal Processing: [BIO-BCI] Brain/human-computer interfaces
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Abstract Riemannian BCI based on EEG covariance have won many data competitions and achieved very high classification results on BCI datasets. To increase the accuracy of BCI systems, we propose an approach grounded on Riemannian geometry that extends this framework to functional connectivity measures. This paper describes the approach submitted to the Clinical BCI Challenge-WCCI2020 and that ranked 1st on the task 1 of the competition.