Identifying music-induced emotions from EEG for use in brain-computer music interfacing

@article{Daly2015IdentifyingME,
  title={Identifying music-induced emotions from EEG for use in brain-computer music interfacing},
  author={Ian Daly and Asad Malik and James Weaver and Faustina Hwang and Slawomir Jaroslaw Nasuto and Duncan A. H. Williams and Alexis Kirke and Eduardo Reck Miranda},
  journal={2015 International Conference on Affective Computing and Intelligent Interaction (ACII)},
  year={2015},
  pages={923-929}
}
  • I. DalyAsad Malik E. Miranda
  • Published 21 September 2015
  • Computer Science
  • 2015 International Conference on Affective Computing and Intelligent Interaction (ACII)
Brain-computer music interfaces (BCMI) provide a method to modulate an individuals affective state via the selection or generation of music according to their current affective state. Potential applications of such systems may include entertainment of therapeutic applications. We outline a proposed design for such a BCMI and seek a method for automatically differentiating different music induced affective states. Band-power features are explored for use in automatically identifying music… 
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