Emotion Imagery BCI

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

Abstract

A non-negligible portion subjects has been shown to be unable to learn how to control a motor imagery (MI) based brain-computer interface (BCI), within a limited duration of training. There is a need for alternative imagery strategies for such users. In this study, imagery of self-induced emotion states were explored as an alternative to MI, using a standard motor imagery BCI paradigm and setup. Electroencephalogram (EEG) correlates of self-induced emotions have been previously used to recognize emotions, as in [1], and here, we hypothesize that emotion imagery (EI) can be used to modulate brain activity and used as a BCI control strategy. Preliminary results comparing the performance of three subjects (N=3, age range = 27-35) performing MI and EI are presented.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages1
DOIs
Publication statusPublished - 5 Jun 2016
EventThe 6th International Brain-Computer Interface Meeting - Asilomar, California
Duration: 5 Jun 2016 → …

Other

OtherThe 6th International Brain-Computer Interface Meeting
Period5/06/16 → …

Fingerprint

Brain-Computer Interfaces
Imagery (Psychotherapy)
Emotions
Electroencephalography
Brain

Keywords

  • Emotion inducing imagery
  • brain-computer interface (BCI)
  • electroencephalography (EEG)
  • motor imagery (MI)
  • sensorimotor rhythms (SMR)

Cite this

@inproceedings{25676d012ed64e148725c8e4b2ebec53,
title = "Emotion Imagery BCI",
abstract = "A non-negligible portion subjects has been shown to be unable to learn how to control a motor imagery (MI) based brain-computer interface (BCI), within a limited duration of training. There is a need for alternative imagery strategies for such users. In this study, imagery of self-induced emotion states were explored as an alternative to MI, using a standard motor imagery BCI paradigm and setup. Electroencephalogram (EEG) correlates of self-induced emotions have been previously used to recognize emotions, as in [1], and here, we hypothesize that emotion imagery (EI) can be used to modulate brain activity and used as a BCI control strategy. Preliminary results comparing the performance of three subjects (N=3, age range = 27-35) performing MI and EI are presented.",
keywords = "Emotion inducing imagery, brain-computer interface (BCI), electroencephalography (EEG), motor imagery (MI), sensorimotor rhythms (SMR)",
author = "Alain Bigirimana and Nazmul Siddique and Damien Coyle",
year = "2016",
month = "6",
day = "5",
doi = "10.3217/978-3-85125-467-9-125",
language = "English",
isbn = "978-3-85125-467-9",
booktitle = "Unknown Host Publication",

}

Bigirimana, A, Siddique, N & Coyle, D 2016, Emotion Imagery BCI. in Unknown Host Publication. The 6th International Brain-Computer Interface Meeting, 5/06/16. https://doi.org/10.3217/978-3-85125-467-9-125

Emotion Imagery BCI. / Bigirimana, Alain; Siddique, Nazmul; Coyle, Damien.

Unknown Host Publication. 2016.

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

TY - GEN

T1 - Emotion Imagery BCI

AU - Bigirimana, Alain

AU - Siddique, Nazmul

AU - Coyle, Damien

PY - 2016/6/5

Y1 - 2016/6/5

N2 - A non-negligible portion subjects has been shown to be unable to learn how to control a motor imagery (MI) based brain-computer interface (BCI), within a limited duration of training. There is a need for alternative imagery strategies for such users. In this study, imagery of self-induced emotion states were explored as an alternative to MI, using a standard motor imagery BCI paradigm and setup. Electroencephalogram (EEG) correlates of self-induced emotions have been previously used to recognize emotions, as in [1], and here, we hypothesize that emotion imagery (EI) can be used to modulate brain activity and used as a BCI control strategy. Preliminary results comparing the performance of three subjects (N=3, age range = 27-35) performing MI and EI are presented.

AB - A non-negligible portion subjects has been shown to be unable to learn how to control a motor imagery (MI) based brain-computer interface (BCI), within a limited duration of training. There is a need for alternative imagery strategies for such users. In this study, imagery of self-induced emotion states were explored as an alternative to MI, using a standard motor imagery BCI paradigm and setup. Electroencephalogram (EEG) correlates of self-induced emotions have been previously used to recognize emotions, as in [1], and here, we hypothesize that emotion imagery (EI) can be used to modulate brain activity and used as a BCI control strategy. Preliminary results comparing the performance of three subjects (N=3, age range = 27-35) performing MI and EI are presented.

KW - Emotion inducing imagery

KW - brain-computer interface (BCI)

KW - electroencephalography (EEG)

KW - motor imagery (MI)

KW - sensorimotor rhythms (SMR)

UR - http://isrc.ulster.ac.uk/dcoyle/contact.html

UR - http://isrc.ulster.ac.uk/dcoyle/contact.html

U2 - 10.3217/978-3-85125-467-9-125

DO - 10.3217/978-3-85125-467-9-125

M3 - Conference contribution

SN - 978-3-85125-467-9

BT - Unknown Host Publication

ER -