Guide to Brain-Computer Music Interfacing

Beschreibung

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 wavesExplores questions of semiotic brain-computer interfacing (BCI), and the use of machine learning to dig into relationships among music and emotionsOffers tutorials on signal extraction, brain electric fields, passive BCI, and applications for genetic algorithms, along with historical surveysDescribes how BCMI research advocates the importance of better scientific understanding of the brain for its potential impact on musical creativityPresents broad coverage of this emerging, interdisciplinary area, from hard-core EEG analysis to practical musical applicationsThis 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.

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.

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Eduardo Reck Miranda

Themen in »Guide to Brain-Computer Music Interfacing«

Biomedical Engineering Brain-Computer Interface Computer Music Human-Computer Interaction Music Cognition Music Technology Neuroscience of Music New Musical Interfaces

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