A self-paced hybrid BCI based on EEG and EOG

Yuan Yang 1 Sylvain Chevallier 1 J. Wiart 2 Isabelle Bloch 1
1 LTCI - Laboratoire Traitement et Communication de l'Information
2 Orange Labs R&D [Rennes]
Abstract :

Daily-used BCIs should provide users the freedom to realize the control through all possible physiological functions and to intentionally decide the timing of communication. Thus, we propose a hybrid BCI (hBCI) that combines ocular-based control with a self-paced on/off brain switch. The proposed system involves the detection of α-rhythm in EEG and ocular activities in EOG data. Experiment carried out on four subjects illustrate the interest of the proposed method.

Keywords : Hybrid BCI Self-paced BCI EOG EEG α-rhythm
Document type :
Conference papers
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https://hal-imt.archives-ouvertes.fr/hal-00686648
Contributor : Admin Télécom Paristech <>
Submitted on : Tuesday, April 10, 2012 - 7:09:28 PM
Last modification on : Thursday, October 17, 2019 - 12:36:08 PM

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  • HAL Id : hal-00686648, version 1

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CNRS | INSTITUT-TELECOM | PARISTECH | LTCI

Citation

Yuan Yang, Sylvain Chevallier, J. Wiart, Isabelle Bloch. A self-paced hybrid BCI based on EEG and EOG. 3rd TOBI workshop - Bringinh BCIs to end-users: facing the challenge, Mar 2012, Wurzburg, Germany. pp.33-34. ⟨hal-00686648⟩

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