Research Repository

Affective brain–computer music interfacing

Daly, Ian and Williams, Duncan and Kirke, Alexis and Weaver, James and Malik, Asad and Hwang, Faustina and Miranda, Eduardo and Nasuto, Slawomir J (2016) 'Affective brain–computer music interfacing.' Journal of Neural Engineering, 13 (4). ISSN 1741-2552

[img]
Preview
Text
draft_3-0.pdf - Accepted Version

Download (8MB) | Preview

Abstract

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

Item Type: Article
Subjects: M Music and Books on Music > M Music
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QP Physiology
T Technology > T Technology (General)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Ian Daly
Date Deposited: 23 Jan 2017 13:22
Last Modified: 29 Jun 2018 16:15
URI: http://repository.essex.ac.uk/id/eprint/18769

Actions (login required)

View Item View Item