Cognitive state estimation based on EEG for augmented cognition

Deniz Erdogmus, Andre Adami, Michael Pavel, Tian Lan, Santosh Mathan, Stephen Whitlow, Michael Dorneich

Research output: Contribution to conferencePaper

17 Scopus citations

Abstract

Augmented cognition is an emerging concept that aims to enhance user performance and cognitive capabilities on the basis of adaptive assistance. An integral part of such systems is the automatic assessment of the instantaneous cognitive state of the user. This paper describes an automatic cognitive state estimation methodology based on the use of EEG measurements with ambulatory users. The required robustness in this context is achieved through the use of a mutual information based dimensionality reduction approach in conjunction with a committee of classifiers, and median filter outlier rejection element. We present classification results associated with cognitive tasks performed in mobile and stationary modalities.

Original languageEnglish (US)
Pages566-569
Number of pages4
DOIs
StatePublished - Dec 1 2005
Event2nd International IEEE EMBS Conference on Neural Engineering, 2005 - Arlington, VA, United States
Duration: Mar 16 2005Mar 19 2005

Other

Other2nd International IEEE EMBS Conference on Neural Engineering, 2005
CountryUnited States
CityArlington, VA
Period3/16/053/19/05

Keywords

  • Augmented cognition
  • Brain computer interface
  • Electroencephalogram
  • Mutual information based dimensionality reduction

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Erdogmus, D., Adami, A., Pavel, M., Lan, T., Mathan, S., Whitlow, S., & Dorneich, M. (2005). Cognitive state estimation based on EEG for augmented cognition. 566-569. Paper presented at 2nd International IEEE EMBS Conference on Neural Engineering, 2005, Arlington, VA, United States. https://doi.org/10.1109/CNE.2005.1419686