Miranda, E. R. and Durrant, Simon and Anders, T. (2008) Towards brain-computer music interfaces: progress and challenges. In: 1st International Symposium on Applied Sciences in Biomedical and Communication Technologies, 25 - 26 October 2008, Aalborg, Denmark.
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Abstract
Brain-Computer Music Interface (BCMI) is a new research area that is emerging at the cross roads of neurobiology,engineering sciences and music. This research involves three major challenging problems: the extraction of meaningful control information from signals emanating directly from the brain, the design of generative music techniques that respond to such information, and the training of subjects to use the system. We have implemented a proof-of-concept BCMI system that is able to use electroencephalogram information to generate music online. Ongoing research informed by a better understanding of brain activity associated with music cognition, and the development of new tools and techniques for implementing braincontrolled generative music systems offer a bright future for the development of BCMI.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Brain-Computer Music Interface (BCMI) is a new research area that is emerging at the cross roads of neurobiology,engineering sciences and music. This research involves three major challenging problems: the extraction of meaningful control information from signals emanating directly from the brain, the design of generative music techniques that respond to such information, and the training of subjects to use the system. We have implemented a proof-of-concept BCMI system that is able to use electroencephalogram information to generate music online. Ongoing research informed by a better understanding of brain activity associated with music cognition, and the development of new tools and techniques for implementing braincontrolled generative music systems offer a bright future for the development of BCMI. |
| Keywords: | Biomedical engineering, electroencephalogram, functional magnetic resonance imaging, music |
| Subjects: | C Biological Sciences > C800 Psychology C Biological Sciences > C850 Cognitive Psychology C Biological Sciences > C860 Neuropsychology |
| Divisions: | College of Social Sciences > Faculty of Health & Social Sciences > School of Psychology |
| Depositing User: | Alison Wilson |
| Date Deposited: | 12 Oct 2011 07:25 |
| Last Modified: | 13 Mar 2013 09:02 |
| URI: | http://eprints.lincoln.ac.uk/id/eprint/4726 |
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