To Err is Human: Learning from Error Potentials in Brain-Computer Interfaces

  • Ricardo Chavarriaga
  • Pierre W. Ferrez
  • José del R. Millán

Abstract

Several studies describe evoked EEG potentials elicited when a subject is aware of an erroneous decision either taken by him or by an external interface. This paper studies Error-related potentials (ErrP) elicited when a human user monitors an external system upon which he has no control whatsoever. In addition, the possibility of using the ErrPs as a learning signals to infer the user’s intended strategy is also addressed. Experimental results show that single-trial recognition of correct and error trials can be achieved, allowing the fast learning of the user’s strategy. These results may constitute the basis of a new kind of human-computer interaction where the former provides monitoring signals that can be used to modify the performance of the latter.

Keywords

Entropy Dopamine Covariance Posite 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Ricardo Chavarriaga
    • 1
  • Pierre W. Ferrez
    • 1
  • José del R. Millán
    • 1
  1. 1.IDIAP Research InstituteMartignySwitzerland

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