Multi-Task Learning for Commercial Brain Computer Interfaces

In the field of Brain Computer Interfaces, one of the most crucial hindrances towards everyday applicability is the problem of subject-to-subject generalization. This adheres to the fact that neural signals vary significantly across subjects, because of the inherent person specific variability, rend...

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Bibliographic Details

Published in:	Proceedings / Annual IEEE International Symposium on Bioinformatics and Bioengineering (BIBE) pp. 86 - 93
Main Author:	Panagopoulos, George
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2017
Subjects:	Bayes methods Brain computer interfaces Calibration EEG Feature extraction Hardware Multi-task Learning Training
ISSN:	2471-7819
Online Access:	Get full text
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