From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification

DOI10.1007/978-3-319-25040-3_64zbMath1406.94013OpenAlexW2273003144MaRDI QIDQ2807568

Sylvain Chevallier, Eric Monacelli, Emmanuel K. Kalunga, Yskandar Hamam, Quentin Barthélemy, Karim Djouani

Publication date: 25 May 2016

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-25040-3_64

zbMATH Keywords

brain-computer interfacesInformation GeometryRiemannian meanssteady state visually evoked potentials

Mathematics Subject Classification ID

Computing methodologies and applications (68U99) Information theory (general) (94A15)

Related Items (1)

Kernel Density Estimation on Spaces of Gaussian Distributions and Symmetric Positive Definite Matrices

This page was built for publication: From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification