Personalised, Multi-modal, Affective State Detection for Hybrid Brain-Computer Music Interfacing

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

Authors/Creators:
  • Daly, Ian
  • Williams, D. (duncan.williams@york.ac.uk)
  • Malik, A. (ahm503@york.ac.uk)
  • Weaver, J.
  • Kirke, Alexis
  • Hwang, Faustina
  • Miranda, Eduardo R
  • Nasuto, Slawomir J
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:
  • Published: 7 February 2018
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: 14 Jul 2019 23:38
Published Version: https://doi.org/10.1109/TAFFC.2018.2801811
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1109/TAFFC.2018.2801811

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Filename: 08283734.pdf

Description: Personalised, multi-modal, affective detection for hybrid brain-computer interfacing (not edited)

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