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Guide to Brain-Computer Music Interfacing

Eduardo Reck Miranda

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ISBN 10: 1447165837 / ISBN 13: 9781447165835
Published by Springer-Verlag Gmbh Nov 2014, 2014
New Condition: Neu Buch
From Agrios-Buch (Bergisch Gladbach, Germany)

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About this Item

Neuware - 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. 313 pp. Englisch. Bookseller Inventory # 9781447165835

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Bibliographic Details

Title: Guide to Brain-Computer Music Interfacing

Publisher: Springer-Verlag Gmbh Nov 2014

Publication Date: 2014

Binding: Buch

Book Condition:Neu

About this title

Synopsis:

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.

From the Back Cover:

The emergence of more affordable EEG equipment is fostering a renaissance of approaches to making music with brain signals.

This Guide to Brain-Computer Music Interfacing (BCMI) presents a world-class collection of BCMI tools with which adventurous explorers may pursue practical and propositional models in music neurotechnology. 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.

Topics and 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

This unique and pioneering text/reference will appeal to researchers, graduates and advanced undergraduates from a range of different domains within computer science and beyond, such as music technology and biomedical engineering.

Prof. Eduardo R. Miranda is a composer and Professor in Computer Music at Plymouth University, UK, where he is Director of the Interdisciplinary Centre for Computer Music Research (ICCMR). Dr. Julien Castet is a Research Project Manager at Immersion SAS, and a Computer and Art Freelancer based in Bordeaux, France.

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