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Identifying music-induced emotions from EEG for use in brain-computer music interfacing

Daly, Ian and Malik, Asad and Weaver, James and Hwang, Faustina and Nasuto, Slawmoir J and Williams, Duncan and Kirke, Alexis and Miranda, Eduardo (2015) Identifying music-induced emotions from EEG for use in brain-computer music interfacing. In: 2015 International Conference on Affective Computing and Intelligent Interaction (ACII), 2015-09-21 - 2015-09-24.

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Abstract

Brain-computer music interfaces (BCMI) provide a method to modulate an individuals affective state via the selection or generation of music according to their current affective state. Potential applications of such systems may include entertainment of therapeutic applications. We outline a proposed design for such a BCMI and seek a method for automatically differentiating different music induced affective states. Band-power features are explored for use in automatically identifying music-induced affective states. Additionally, a linear discriminant analysis classifier and a support vector machine are evaluated with respect to their ability to classify music induced affective states from the electroencephalogram recorded during a BCMI calibration task. Accuracies of up to 79.5% (p <; 0.001) are achieved with the support vector machine.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2015 International Conference on Affective Computing and Intelligent Interaction (ACII)
Uncontrolled Keywords: Brain-computer music interfaces, Linear discriminant analysis, Support vector machines, EEG
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 25 May 2021 11:18
Last Modified: 25 May 2021 11:18
URI: http://repository.essex.ac.uk/id/eprint/25454

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