About: Music Emotion Capture: sonifying emotions in EEG data

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type	http://eprints.org/ontology/ConferenceItemEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #66564 Music Emotion Capture: sonifying emotions in EEG data
http://eprints.org/ontology/hasAccepted	Music Emotion Capture: sonifying emotions in EEG data (PDF)
http://eprints.org/ontology/hasDocument	Music Emotion Capture: sonifying emotions in EEG data (Other) Music Emotion Capture: sonifying emotions in EEG data (Other) Music Emotion Capture: sonifying emotions in EEG data (Other) Music Emotion Capture: sonifying emotions in EEG data (Other) Music Emotion Capture: sonifying emotions in EEG data (PDF) Music Emotion Capture: sonifying emotions in EEG data (Other)
dc:hasVersion	Music Emotion Capture: sonifying emotions in EEG data (PDF)
Title	Music Emotion Capture: sonifying emotions in EEG data
described by	https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2018-08-21
Creator	Anna Jordanous L. Li George Langroudi
status	peer reviewed published
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.
Is Part Of	https://kar.kent.ac.uk/id/repository
Subject	BF Psychology Q335 Artificial intelligence QA 76 Software, computer programming, QA76.575 Multimedia systems QA76.76 Computer software QA76.76.I59 Interactive media, hypermedia QA76.87 Neural computers, neural networks QA76.9.H85 Human computer interaction
list of authors	https://kar.kent.ac.uk/id/eprint/66564#authors
presented at	Emotion Modelling and Detection in Social Media and Online Interaction symposium at the AISB 2018 Convention
is topic of	https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #66564 Music Emotion Capture: sonifying emotions in EEG data

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