Daly, Ian, Williams, D., Malik, A. et al. (5 more authors) (2018) Personalised, Multi-modal, Affective State Detection for Hybrid Brain-Computer Music Interfacing. IEEE Transactions on Affective Computing. pp. 1-14. ISSN 1949-3045
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Copyright 2018 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions. |
Keywords: | Calibration,Electroencephalography,Medical treatment,Music,Physiology,Psychology,Training,Affective state detection,BCMI,EEG,GSR,Personalised affective state detection |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 19 Feb 2018 15:10 |
Last Modified: | 16 Oct 2024 14:28 |
Published Version: | https://doi.org/10.1109/TAFFC.2018.2801811 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/TAFFC.2018.2801811 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:127716 |
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Description: Personalised, multi-modal, affective detection for hybrid brain-computer interfacing (not edited)