Guide to Brain-Computer Music Interfacing (Record no. 52077)

000 -LEADER
fixed length control field 04319nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-1-4471-6584-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220224.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 141003s2014 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781447165842
-- 978-1-4471-6584-2
082 04 - CLASSIFICATION NUMBER
Call Number 005.437
082 04 - CLASSIFICATION NUMBER
Call Number 4.019
245 10 - TITLE STATEMENT
Title Guide to Brain-Computer Music Interfacing
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVIII, 313 p. 103 illus.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Brain-Computer Music Interfacing -- Electroencephalogram-Based Brain-Computer Interface -- Contemporary Approaches to BCMI Using P300 Event Related Potentials -- Prospective View on Sound Synthesis BCI Control in Light of Two Paradigms of Cognitive Neuroscience -- Machine Learning to Identify Neural Correlates of Music and Emotions -- Emotional Responses During Music Listening -- A Tutorial on EEG Signal Processing Techniques for Mental State Recognition in Brain-Computer Interfaces -- An Introduction to EEG Source Analysis with an Illustration of a Study on Error-Related Potentials -- Feature Extraction and Classification of EEG Signals -- On Mapping EEG Information into Music -- Retroaction Between Music and Physiology -- Creative Music Neurotechnology with Symphony of Minds Listening -- Passive Brain-Computer Interfaces.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Miranda, Eduardo Reck.
700 1# - AUTHOR 2
Author 2 Castet, Julien.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-6584-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2014.
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-- text
-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Music.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neurosciences.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- User interfaces (Computer systems).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- User Interfaces and Human Computer Interaction.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Music.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neurosciences.
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