ORCID
- Kirke, Alexis: 0000-0001-8783-6182
- Miranda, Eduardo: 0000-0002-8306-9585
Abstract
Objective. We aim to develop and evaluate an affective brain–computer music interface (aBCMI) for modulating the affective states of its users. Approach. An aBCMI is constructed to detect a userʼs current affective state and attempt to modulate it in order to achieve specific objectives (for example, making the user calmer or happier) by playing music which is generated according to a specific affective target by an algorithmic music composition system and a casebased reasoning system. The system is trained and tested in a longitudinal study on a population of eight healthy participants, with each participant returning for multiple sessions. Main results. The final online aBCMI is able to detect its users current affective states with classification accuracies of up to 65% (3 class, p < 0.01) and modulate its userʼs affective states significantly above chance level (p < 0.05). Significance. Our system represents one of the first demonstrations of an online aBCMI that is able to accurately detect and respond to userʼs affective states. Possible applications include use in music therapy and entertainment
DOI
10.1088/1741-2560/13/4/046022
Publication Date
2016-08-01
Publication Title
Journal of Neural Engineering
Volume
13
Issue
4
First Page
46022
Last Page
46022
ISSN
1741-2560
Embargo Period
2017-07-11
Organisational Unit
School of Art, Design and Architecture
Recommended Citation
Daly, I., Williams, D., Kirke, A., Weaver, J., Malik, A., Hwang, F., Miranda, E., & Nasuto, S. (2016) 'Affective brain–computer music interfacing', Journal of Neural Engineering, 13(4), pp. 46022-46022. Available at: https://doi.org/10.1088/1741-2560/13/4/046022
