Cognitive state estimation based on EEG for augmented cognition

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

doi:10.1109/CNE.2005.1419686

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 conference › Paper › peer-review

22 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 language	English (US)
Pages	566-569
Number of pages	4
DOIs	https://doi.org/10.1109/CNE.2005.1419686
State	Published - 2005
Externally published	Yes
Event	2nd International IEEE EMBS Conference on Neural Engineering, 2005 - Arlington, VA, United States Duration: Mar 16 2005 → Mar 19 2005

Other

Other	2nd International IEEE EMBS Conference on Neural Engineering, 2005
Country/Territory	United States
City	Arlington, VA
Period	3/16/05 → 3/19/05

Keywords

Augmented cognition
Brain computer interface
Electroencephalogram
Mutual information based dimensionality reduction

ASJC Scopus subject areas

Engineering(all)

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10.1109/CNE.2005.1419686

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title = "Cognitive state estimation based on EEG for augmented cognition",

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.",

keywords = "Augmented cognition, Brain computer interface, Electroencephalogram, Mutual information based dimensionality reduction",

author = "Deniz Erdogmus and Andre Adami and Michael Pavel and Tian Lan and Santosh Mathan and Stephen Whitlow and Michael Dorneich",

year = "2005",

doi = "10.1109/CNE.2005.1419686",

language = "English (US)",

pages = "566--569",

note = "2nd International IEEE EMBS Conference on Neural Engineering, 2005 ; Conference date: 16-03-2005 Through 19-03-2005",

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TY - CONF

T1 - Cognitive state estimation based on EEG for augmented cognition

AU - Erdogmus, Deniz

AU - Adami, Andre

AU - Pavel, Michael

AU - Lan, Tian

AU - Mathan, Santosh

AU - Whitlow, Stephen

AU - Dorneich, Michael

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Augmented cognition

KW - Brain computer interface

KW - Electroencephalogram

KW - Mutual information based dimensionality reduction

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DO - 10.1109/CNE.2005.1419686

M3 - Paper

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EP - 569

T2 - 2nd International IEEE EMBS Conference on Neural Engineering, 2005

Y2 - 16 March 2005 through 19 March 2005

ER -

Cognitive state estimation based on EEG for augmented cognition

Abstract

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Keywords

ASJC Scopus subject areas

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