
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'ouvrageDate
2018Book title
Brain-Computer Interfaces Handbook : Technological and Theoretical AdvancesBook author
Nam, Chang S.; Nijholt, Anton; Lotte, FabienPublisher
CRC Press, Taylor & Francis
ISBN
9781498773430
Number of pages
814Pages
372-398
Metadata
Show full item recordAuthor(s)
Chevallier, Sylvain
autre
Kalunga, Emmanuel
autre
Barthélemy, Quentin
Mensia Technologies [Rennes]
Yger, Florian

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-timeSubjects / Keywords
Interface neuronale directe (IND); Brain-Computer Interfaces (BCI)Related items
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