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Personalised, multi-modal, affective state detection for hybrid brain-computer music interfacing

Daly, I., Williams, D., Malik, A., Weaver, J., Kirke, A., Hwang, F., Miranda, E. and Nasuto, S. J. (2018) Personalised, multi-modal, affective state detection for hybrid brain-computer music interfacing. IEEE Transactions on Affective Computing. ISSN 1949-3045 (In Press)

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To link to this item DOI: 10.1109/TAFFC.2018.2801811

Abstract/Summary

Brain-computer music interfaces (BCMIs) may be used to modulate affective states, with applications in music therapy, composition, and entertainment. However, for such systems to work they need to be able to reliably detect their user's current affective state.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:76558
Publisher:IEEE

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