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A Self-paced Hybrid BCI based on EEG and EOG

Abstract : Daily-used BCIs should provide users the freedom to realize the control through all possible physiological functions and to turn on/off the control system independently. 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. Experiments carried out on four subjects illustrate the interest of the proposed method.
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https://hal.archives-ouvertes.fr/hal-00686104
Contributor : Yuan Yang <>
Submitted on : Saturday, April 7, 2012 - 12:01:18 PM
Last modification on : Monday, October 12, 2020 - 6:43:39 PM
Long-term archiving on: : Sunday, July 8, 2012 - 2:20:40 AM

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  • HAL Id : hal-00686104, version 1

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Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch. A Self-paced Hybrid BCI based on EEG and EOG. 3rd Workshop of Tools for Brain-computer Interaction (TOBI 2012), Mar 2012, Wuerzburg, Germany. pp.4.2. ⟨hal-00686104⟩

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