Brain-Computer Interfacing with Emotion-Inducing Imagery: A pilot study

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Using neural correlates of intentionally induced human emotions may offer alternative imagery strategies to control brain-computer interface (BCI) applications. In this paper, self-induced emotions i.e., emotions induced by participants performing sad or happy related emotional imagery, are compared to motor imagery (MI) in a two-class electroencephalogram (EEG)-based BCI. The BCI setup included a multistage signal-processing framework allowing online continuous feedback presentation in a game involving one-dimensional control of game character. With seven participants, the highest online accuracies were 90% for emotion-inducing imagery (EII) and 80% for MI. Offline and online results analysis showed no significant differences in MI and EII performance. The results suggest that EII may be suitable for intentional control in BCI paradigms and offer a viable alternative for some BCI users.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages5
DOIs
Publication statusE-pub ahead of print - 22 Sep 2017
Eventthe 7th Graz BCI Conference 2017 -
Duration: 22 Sep 2017 → …

Conference

Conferencethe 7th Graz BCI Conference 2017
Period22/09/17 → …

Fingerprint

Imagery (Psychotherapy)
Brain-Computer Interfaces
Emotions
Brain
Electroencephalography

Keywords

  • Brain-Computer Interfacing
  • Emotion Imagery
  • Motor Imagery
  • EEG
  • Games

Cite this

@inproceedings{c28069731ce4492499fd2bb1a816110d,
title = "Brain-Computer Interfacing with Emotion-Inducing Imagery: A pilot study",
abstract = "Using neural correlates of intentionally induced human emotions may offer alternative imagery strategies to control brain-computer interface (BCI) applications. In this paper, self-induced emotions i.e., emotions induced by participants performing sad or happy related emotional imagery, are compared to motor imagery (MI) in a two-class electroencephalogram (EEG)-based BCI. The BCI setup included a multistage signal-processing framework allowing online continuous feedback presentation in a game involving one-dimensional control of game character. With seven participants, the highest online accuracies were 90{\%} for emotion-inducing imagery (EII) and 80{\%} for MI. Offline and online results analysis showed no significant differences in MI and EII performance. The results suggest that EII may be suitable for intentional control in BCI paradigms and offer a viable alternative for some BCI users.",
keywords = "Brain-Computer Interfacing, Emotion Imagery, Motor Imagery, EEG, Games",
author = "Bigirimana, {Alain Desire} and NH Siddique and Damien Coyle",
year = "2017",
month = "9",
day = "22",
doi = "10.3217/978-3-85125-533-1-06",
language = "English",
isbn = "978-3-85125-533-1",
booktitle = "Unknown Host Publication",

}

Brain-Computer Interfacing with Emotion-Inducing Imagery: A pilot study. / Bigirimana, Alain Desire; Siddique, NH; Coyle, Damien.

Unknown Host Publication. 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Coyle, Damien

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AB - Using neural correlates of intentionally induced human emotions may offer alternative imagery strategies to control brain-computer interface (BCI) applications. In this paper, self-induced emotions i.e., emotions induced by participants performing sad or happy related emotional imagery, are compared to motor imagery (MI) in a two-class electroencephalogram (EEG)-based BCI. The BCI setup included a multistage signal-processing framework allowing online continuous feedback presentation in a game involving one-dimensional control of game character. With seven participants, the highest online accuracies were 90% for emotion-inducing imagery (EII) and 80% for MI. Offline and online results analysis showed no significant differences in MI and EII performance. The results suggest that EII may be suitable for intentional control in BCI paradigms and offer a viable alternative for some BCI users.

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