ORCID

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

ISSN

1741-2560

Embargo Period

2017-07-11

Organisational Unit

School of Art, Design and Architecture

First Page

46022

Last Page

46022

Download

Share

COinS