Emotional Brain-Computer Interfaces

Gary Garcia Molina; Tsvetomira Tsoneva; Anton Nijholt

doi:10.1109/ACII.2009.5349478

Emotional Brain-Computer Interfaces

Gary Garcia Molina, Tsvetomira Tsoneva, Anton Nijholt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

55 Citations (Scopus)

172 Downloads (Pure)

Abstract

Research in Brain-computer interface (BCI) has significantly increased during the last few years. In addition to their initial role as assisting devices for the physically challenged, BCIs are now proposed for a wider range of applications. As in any HCI application, BCIs can also benefit from adapting their operation to the emotional state of the user. BCIs have the advantage of having access to brain activity which can provide signicant insight into the user's emotional state. This information can be utilized in two manners. 1) Knowledge of the inuence of the emotional state on brain activity patterns can allow the BCI to adapt its recognition algorithms, so that the intention of the user is still correctly interpreted in spite of signal deviations induced by the subject's emotional state. 2) The ability to recognize emotions can be used in BCIs to provide the user with more natural ways of controlling the BCI through affective modulation. Thus, controlling a BCI by recollecting a pleasant memory can be possible and can potentially lead to higher information transfer rates. These two approaches of emotion utilization in BCI are elaborated in detail in this paper in the framework of noninvasive EEG based BCIs.

Original language	English
Title of host publication	Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
Editors	Jeffrey Cohn, Anton Nijholt, Maja Pantic
Place of Publication	Los Alamitos, NJ
Publisher	IEEE
Pages	138-146
Number of pages	9
ISBN (Print)	978-1-4244-4799-2
DOIs	https://doi.org/10.1109/ACII.2009.5349478
Publication status	Published - 12 Sept 2009
Event	3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009 - De Rode Hoed, Amsterdam, Netherlands Duration: 10 Sept 2009 → 12 Sept 2009 Conference number: 3

Conference

Conference	3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009
Abbreviated title	ACII
Country/Territory	Netherlands
City	Amsterdam
Period	10/09/09 → 12/09/09

Keywords

METIS-264001
Brain-Computer Interfacing
IR-68935
Emotion elicitation
BCI
HMI-MI: MULTIMODAL INTERACTIONS
EEG
Affectice computing
EWI-16010
User adaptation
Emotion detection

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10.1109/ACII.2009.5349478

Cite this

@inproceedings{04512f39f8ab4d9fa05cd3fe8158fc47,

title = "Emotional Brain-Computer Interfaces",

abstract = "Research in Brain-computer interface (BCI) has significantly increased during the last few years. In addition to their initial role as assisting devices for the physically challenged, BCIs are now proposed for a wider range of applications. As in any HCI application, BCIs can also benefit from adapting their operation to the emotional state of the user. BCIs have the advantage of having access to brain activity which can provide signicant insight into the user's emotional state. This information can be utilized in two manners. 1) Knowledge of the inuence of the emotional state on brain activity patterns can allow the BCI to adapt its recognition algorithms, so that the intention of the user is still correctly interpreted in spite of signal deviations induced by the subject's emotional state. 2) The ability to recognize emotions can be used in BCIs to provide the user with more natural ways of controlling the BCI through affective modulation. Thus, controlling a BCI by recollecting a pleasant memory can be possible and can potentially lead to higher information transfer rates. These two approaches of emotion utilization in BCI are elaborated in detail in this paper in the framework of noninvasive EEG based BCIs.",

keywords = "METIS-264001, Brain-Computer Interfacing, IR-68935, Emotion elicitation, BCI, HMI-MI: MULTIMODAL INTERACTIONS, EEG, Affectice computing, EWI-16010, User adaptation, Emotion detection",

author = "{Garcia Molina}, Gary and Tsvetomira Tsoneva and Anton Nijholt",

year = "2009",

month = sep,

day = "12",

doi = "10.1109/ACII.2009.5349478",

language = "English",

isbn = "978-1-4244-4799-2",

pages = "138--146",

editor = "Jeffrey Cohn and Anton Nijholt and Maja Pantic",

booktitle = "Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009",

publisher = "IEEE",

address = "United States",

note = "3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009, ACII ; Conference date: 10-09-2009 Through 12-09-2009",

}

Garcia Molina, G, Tsoneva, T & Nijholt, A 2009, Emotional Brain-Computer Interfaces. in J Cohn, A Nijholt & M Pantic (eds), Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. IEEE, Los Alamitos, NJ, pp. 138-146, 3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009, Amsterdam, Netherlands, 10/09/09. https://doi.org/10.1109/ACII.2009.5349478

Emotional Brain-Computer Interfaces. / Garcia Molina, Gary; Tsoneva, Tsvetomira; Nijholt, Anton.
Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. ed. / Jeffrey Cohn; Anton Nijholt; Maja Pantic. Los Alamitos, NJ: IEEE, 2009. p. 138-146.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Emotional Brain-Computer Interfaces

AU - Garcia Molina, Gary

AU - Tsoneva, Tsvetomira

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N1 - Conference code: 3

PY - 2009/9/12

Y1 - 2009/9/12

N2 - Research in Brain-computer interface (BCI) has significantly increased during the last few years. In addition to their initial role as assisting devices for the physically challenged, BCIs are now proposed for a wider range of applications. As in any HCI application, BCIs can also benefit from adapting their operation to the emotional state of the user. BCIs have the advantage of having access to brain activity which can provide signicant insight into the user's emotional state. This information can be utilized in two manners. 1) Knowledge of the inuence of the emotional state on brain activity patterns can allow the BCI to adapt its recognition algorithms, so that the intention of the user is still correctly interpreted in spite of signal deviations induced by the subject's emotional state. 2) The ability to recognize emotions can be used in BCIs to provide the user with more natural ways of controlling the BCI through affective modulation. Thus, controlling a BCI by recollecting a pleasant memory can be possible and can potentially lead to higher information transfer rates. These two approaches of emotion utilization in BCI are elaborated in detail in this paper in the framework of noninvasive EEG based BCIs.

AB - Research in Brain-computer interface (BCI) has significantly increased during the last few years. In addition to their initial role as assisting devices for the physically challenged, BCIs are now proposed for a wider range of applications. As in any HCI application, BCIs can also benefit from adapting their operation to the emotional state of the user. BCIs have the advantage of having access to brain activity which can provide signicant insight into the user's emotional state. This information can be utilized in two manners. 1) Knowledge of the inuence of the emotional state on brain activity patterns can allow the BCI to adapt its recognition algorithms, so that the intention of the user is still correctly interpreted in spite of signal deviations induced by the subject's emotional state. 2) The ability to recognize emotions can be used in BCIs to provide the user with more natural ways of controlling the BCI through affective modulation. Thus, controlling a BCI by recollecting a pleasant memory can be possible and can potentially lead to higher information transfer rates. These two approaches of emotion utilization in BCI are elaborated in detail in this paper in the framework of noninvasive EEG based BCIs.

KW - METIS-264001

KW - Brain-Computer Interfacing

KW - IR-68935

KW - Emotion elicitation

KW - BCI

KW - HMI-MI: MULTIMODAL INTERACTIONS

KW - EEG

KW - Affectice computing

KW - EWI-16010

KW - User adaptation

KW - Emotion detection

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DO - 10.1109/ACII.2009.5349478

M3 - Conference contribution

SN - 978-1-4244-4799-2

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EP - 146

BT - Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

A2 - Cohn, Jeffrey

A2 - Nijholt, Anton

A2 - Pantic, Maja

PB - IEEE

CY - Los Alamitos, NJ

T2 - 3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009

Y2 - 10 September 2009 through 12 September 2009

ER -

Emotional Brain-Computer Interfaces

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Conference

Keywords

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