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Riemannian Classification for SSVEP-Based BCI: Offline versus Online Implementations

Chevallier, Sylvain; Kalunga, Emmanuel; Barthélemy, Quentin; Yger, Florian (2018), Riemannian Classification for SSVEP-Based BCI: Offline versus Online Implementations, in Nam, Chang S.; Nijholt, Anton; Lotte, Fabien, Brain-Computer Interfaces Handbook : Technological and Theoretical Advances, CRC Press, Taylor & Francis, p. 372-398

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Type
Chapitre d'ouvrage
Date
2018
Book title
Brain-Computer Interfaces Handbook : Technological and Theoretical Advances
Book author
Nam, Chang S.; Nijholt, Anton; Lotte, Fabien
Publisher
CRC Press, Taylor & Francis
ISBN
9781498773430
Number of pages
814
Pages
372-398
Metadata
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Author(s)
Chevallier, Sylvain cc
autre
Kalunga, Emmanuel
autre
Barthélemy, Quentin
Mensia Technologies [Rennes]
Yger, Florian cc
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
This chapter focuses on the different implementations of brain-computer interface (BCI) based on steady-state visually evoked potentials (SSVEPs). In offline BCI, feature extraction and classification are performed at the end of the session, when all trials are available, whereas in online settings, they are performed several times during each trial, usually for each available epoch recorded by the electroencephalogram (EEG) device, enabling real-time
Subjects / Keywords
Interface neuronale directe (IND); Brain-Computer Interfaces (BCI)