Anticipation- and error-related EEG signals during realistic human-machine interaction: a study on visual and tactile feedback.
The exploitation of EEG signatures of cognitive processes can provide valuable information to improve interaction with brain actuated devices. In this work we study these correlates in a realistic situation simulated in a virtual reality environment. We focus on cortical potentials linked to the anticipation of future events (i.e. the contingent negative variation, CNV) and error-related potentials elicited by both visual and tactile feedback. Experiments with 6 subjects show brain activity consistent with previous studies using simpler stimuli, both at the level of ERPs and single trial classification. Moreover, we observe comparable signals irrespective of whether the subject was required to perform motor actions. Altogether, these results support the possibility of using these signals for practical brain machine interaction.
Non-Invasive Brain-Computer Interface, CH-1015 Lausanne, Switzerland. fricardo.chavarriaga@epfl.ch
Ricardo
R
Chavarriaga
Xavier
X
Perrin
Roland
R
Siegwart
José del R
Jdel R
Millán
D000328:Adult; D000465:Algorithms; D059031:Anticipation, Psychological; D001921:Brain / Q000502:physiology; D001931:Brain Mapping / Q000379:methods; D003196:Computer Graphics; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods*; D005071:Evoked Potentials; D056228:Feedback, Sensory; D006801:Humans; D008297:Male; D008328:Man-Machine Systems; D009068:Movement; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D014110:Touch; D014785:Vision, Ocular; D055815:Young Adult