Overview
- The first book of its kind on this new, emerging topic
- Presents contributions from world leaders in their fields
- Highly interdisciplinary, appealing to a broad readership from computer science to music technology and biomedical engineering
- Includes supplementary material: sn.pub/extras
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Table of contents (13 chapters)
Keywords
About this book
This book presents a world-class collection of Brain-Computer Music Interfacing (BCMI) tools. The text focuses on how these tools enable the extraction of meaningful control information from brain signals, and discusses how to design effective generative music techniques that respond to this information. Features: reviews important techniques for hands-free interaction with computers, including event-related potentials with P300 waves; explores questions of semiotic brain-computer interfacing (BCI), and the use of machine learning to dig into relationships among music and emotions; offers tutorials on signal extraction, brain electric fields, passive BCI, and applications for genetic algorithms, along with historical surveys; describes how BCMI research advocates the importance of better scientific understanding of the brain for its potential impact on musical creativity; presents broad coverage of this emerging, interdisciplinary area, from hard-core EEG analysis to practical musical applications.
Editors and Affiliations
Bibliographic Information
Book Title: Guide to Brain-Computer Music Interfacing
Editors: Eduardo Reck Miranda, Julien Castet
DOI: https://doi.org/10.1007/978-1-4471-6584-2
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2014
Hardcover ISBN: 978-1-4471-6583-5Published: 15 October 2014
Softcover ISBN: 978-1-4471-7210-9Published: 10 September 2016
eBook ISBN: 978-1-4471-6584-2Published: 03 October 2014
Edition Number: 1
Number of Pages: XVIII, 313
Number of Illustrations: 103 b/w illustrations
Topics: User Interfaces and Human Computer Interaction, Music, Biomedical Engineering and Bioengineering, Neurosciences