Emotion Imagery BCI

Alain Bigirimana, Nazmul Siddique, Damien Coyle

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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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.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherTU Graz
Number of pages1
ISBN (Print)978-3-85125-467-9
Publication statusPublished (in print/issue) - 5 Jun 2016
EventThe 6th International Brain-Computer Interface Meeting - Asilomar, California
Duration: 5 Jun 2016 → …


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


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


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