Skip to main content
Kent Academic Repository

Music Emotion Capture: sonifying emotions in EEG data

Langroudi, George, Jordanous, Anna, Li, Ling (2018) Music Emotion Capture: sonifying emotions in EEG data. In: Emotion Modelling and Detection in Social Media and Online Interaction symposium at the AISB 2018 Convention, 4-6 April 2018, Liverpool, UK. (KAR id:66564)

PDF (Paper will also be published open access by the conference by April 2018) Author's Accepted Manuscript
Language: English
Download this file
(PDF/2MB)
[thumbnail of Paper will also be published open access by the conference by April 2018]
Preview
Request a format suitable for use with assistive technology e.g. a screenreader
Official URL:
http://collab.di.uniba.it/aisbemotions/

Abstract

People’s emotions are not always obviously detectable, due to difficulties expressing emotions, or geographic distance (e.g. if people are communicating online). There are also many occasions where it would be useful for a computer to be able to detect users’ emotions and respond to them appropriately. A person’s brain activity gives vital clues as to emotions they are experiencing at any one time. The aim of this project is to detect, model and sonify people’s emotions. To achieve this, there are two tasks: (1) to detect emotions based on current brain activity as measured by an EEG device; (2) to play appropriate music in real-time, representing the current emotional state of the user. Here we report a pilot study implementing the Music Emotion Capture system. In future work we plan to improve how this project performs emotion detection through EEG, and to generate new music based on emotion-based characteristics of music. Potential applications arise in collaborative/assistive software and brain-computer interfaces for non-verbal communication.

Item Type: Conference or workshop item (Paper)
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > Q Science (General) > Q335 Artificial intelligence
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.575 Multimedia systems
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76 Computer software
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76 Computer software > QA76.76.I59 Interactive media, hypermedia
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Anna Jordanous
Date Deposited: 28 Mar 2018 09:30 UTC
Last Modified: 03 Mar 2021 17:51 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/66564 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.