Emotion Imagery BCI

Alain Bigirimana, Nazmul Siddique, Damien Coyle

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

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.
Original languageEnglish
Title of host publicationBCI Past, Present, and Future; Proceedings of the 6th International Brain Computer Interface Meeting
Place of PublicationAustria
PublisherVerlag der Technischen Universitat Graz
Number of pages1
ISBN (Print)978-3-85125-467-9
DOIs
Publication statusPublished - 5 Jun 2016

Bibliographical note

The 6th International Brain-Computer Interface Meeting ; Conference date: 05-06-2016

Keywords

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

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