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Emotion Imagery BCI

Bigirimana, Alain, Siddique, Nazmul and Coyle, Damien (2016) Emotion Imagery BCI. In: The 6th International Brain-Computer Interface Meeting, Asilomar, California. Verlag der TU Graz, Graz University of Technology. 1 pp. [Conference contribution]

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URL: http://castor.tugraz.at/doku/BCIMeeting2016/paper_125.pdf

DOI: 10.3217/978-3-85125-467-9-125

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.

Item Type:Conference contribution (Paper)
Keywords:Emotion inducing imagery, brain-computer interface (BCI), electroencephalography (EEG), motor imagery (MI), sensorimotor rhythms (SMR)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:35125
Deposited By: Prof Damien Coyle
Deposited On:21 Feb 2017 15:27
Last Modified:21 Feb 2017 15:27

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