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.


Publié dans:
2012 Annual International Conference Of The Ieee Engineering In Medicine And Biology Society (Embc), 6723-6726
Présenté à:
34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'12), San Diego, USA, August 28 - September 1, 2012
Année
2012
Publisher:
New York, Ieee
ISSN:
1557-170X
ISBN:
978-1-4577-1787-1
Mots-clefs:
Laboratoires:




 Notice créée le 2012-06-01, modifiée le 2019-08-12

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