A closed-loop, music-based brain-computer interface for emotion mediation

Emotions play a critical role in rational and intelligent behavior; a better fundamental knowledge of them is indispensable for understanding higher order brain function. We propose a non-invasive brain-computer interface (BCI) system to feedback a person’s affective state such that a closed-loop in...

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Main Authors: Ehrlich, Stefan K., Agres, Kat R., Guan, Cuntai, Cheng, Gordon
Other Authors: Najbauer, Joseph
Format: Article
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/105941
http://hdl.handle.net/10220/48834
http://dx.doi.org/10.1371/journal.pone.0213516
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1059412019-12-06T22:01:12Z A closed-loop, music-based brain-computer interface for emotion mediation Ehrlich, Stefan K. Agres, Kat R. Guan, Cuntai Cheng, Gordon Najbauer, Joseph School of Computer Science and Engineering Emotions Bioacoustics DRNTU::Engineering::Computer science and engineering Emotions play a critical role in rational and intelligent behavior; a better fundamental knowledge of them is indispensable for understanding higher order brain function. We propose a non-invasive brain-computer interface (BCI) system to feedback a person’s affective state such that a closed-loop interaction between the participant’s brain responses and the musical stimuli is established. We realized this concept technically in a functional prototype of an algorithm that generates continuous and controllable patterns of synthesized affective music in real-time, which is embedded within a BCI architecture. We evaluated our concept in two separate studies. In the first study, we tested the efficacy of our music algorithm by measuring subjective affective responses from 11 participants. In a second pilot study, the algorithm was embedded in a real-time BCI architecture to investigate affective closed-loop interactions in 5 participants. Preliminary results suggested that participants were able to intentionally modulate the musical feedback by self-inducing emotions (e.g., by recalling memories), suggesting that the system was able not only to capture the listener’s current affective state in real-time, but also potentially provide a tool for listeners to mediate their own emotions by interacting with music. The proposed concept offers a tool to study emotions in the loop, promising to cast a complementary light on emotion-related brain research, particularly in terms of clarifying the interactive, spatio-temporal dynamics underlying affective processing in the brain. ASTAR (Agency for Sci., Tech. and Research, S’pore) Published version 2019-06-19T06:01:02Z 2019-12-06T22:01:12Z 2019-06-19T06:01:02Z 2019-12-06T22:01:12Z 2019 Journal Article Ehrlich, S. K., Agres, K. R., Guan, C., & Cheng, G. (2019). A closed-loop, music-based brain-computer interface for emotion mediation. PLOS ONE, 14(3), e0213516-. doi:10.1371/journal.pone.0213516 https://hdl.handle.net/10356/105941 http://hdl.handle.net/10220/48834 http://dx.doi.org/10.1371/journal.pone.0213516 en PLOS ONE © 2019 Ehrlich et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 24 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Emotions
Bioacoustics
DRNTU::Engineering::Computer science and engineering
spellingShingle Emotions
Bioacoustics
DRNTU::Engineering::Computer science and engineering
Ehrlich, Stefan K.
Agres, Kat R.
Guan, Cuntai
Cheng, Gordon
A closed-loop, music-based brain-computer interface for emotion mediation
description Emotions play a critical role in rational and intelligent behavior; a better fundamental knowledge of them is indispensable for understanding higher order brain function. We propose a non-invasive brain-computer interface (BCI) system to feedback a person’s affective state such that a closed-loop interaction between the participant’s brain responses and the musical stimuli is established. We realized this concept technically in a functional prototype of an algorithm that generates continuous and controllable patterns of synthesized affective music in real-time, which is embedded within a BCI architecture. We evaluated our concept in two separate studies. In the first study, we tested the efficacy of our music algorithm by measuring subjective affective responses from 11 participants. In a second pilot study, the algorithm was embedded in a real-time BCI architecture to investigate affective closed-loop interactions in 5 participants. Preliminary results suggested that participants were able to intentionally modulate the musical feedback by self-inducing emotions (e.g., by recalling memories), suggesting that the system was able not only to capture the listener’s current affective state in real-time, but also potentially provide a tool for listeners to mediate their own emotions by interacting with music. The proposed concept offers a tool to study emotions in the loop, promising to cast a complementary light on emotion-related brain research, particularly in terms of clarifying the interactive, spatio-temporal dynamics underlying affective processing in the brain.
author2 Najbauer, Joseph
author_facet Najbauer, Joseph
Ehrlich, Stefan K.
Agres, Kat R.
Guan, Cuntai
Cheng, Gordon
format Article
author Ehrlich, Stefan K.
Agres, Kat R.
Guan, Cuntai
Cheng, Gordon
author_sort Ehrlich, Stefan K.
title A closed-loop, music-based brain-computer interface for emotion mediation
title_short A closed-loop, music-based brain-computer interface for emotion mediation
title_full A closed-loop, music-based brain-computer interface for emotion mediation
title_fullStr A closed-loop, music-based brain-computer interface for emotion mediation
title_full_unstemmed A closed-loop, music-based brain-computer interface for emotion mediation
title_sort closed-loop, music-based brain-computer interface for emotion mediation
publishDate 2019
url https://hdl.handle.net/10356/105941
http://hdl.handle.net/10220/48834
http://dx.doi.org/10.1371/journal.pone.0213516
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