A Self-paced Hybrid BCI based on EEG and EOG

Yuan Yang (1) , Sylvain Chevallier (1) , Joe Wiart (2) , Isabelle Bloch (1)

1 LTCI - Laboratoire Traitement et Communication de l'Information
2 Orange Labs [Issy les Moulineaux]

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.

Mots clés: Hybrid BCI; Self-paced BCI; EOG; EEG; α-rhythm

Domaines: Interface homme-machine [cs.HC]; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

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⟩