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]

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

Domains: Computer Science [cs]; Image Processing [eess.IV]

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⟩