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000711858 020__ $$a9781447165842$$qelectronic book
000711858 020__ $$a1447165845$$qelectronic book
000711858 020__ $$z9781447165835
000711858 0247_ $$a10.1007/978-1-4471-6584-2$$2doi
000711858 035__ $$aSP(OCoLC)ocn892970046
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000711858 049__ $$aISEA
000711858 050_4 $$aQP360.7
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000711858 24500 $$aGuide to brain-computer music interfacing /$$cEduardo Reck Miranda, Julien Castet, editors.$$h[electronic resource]
000711858 264_1 $$aLondon :$$bSpringer,$$c2014.
000711858 300__ $$a1 online resource (xviii, 313 pages) :$$billustrations
000711858 336__ $$atext$$btxt$$2rdacontent
000711858 337__ $$acomputer$$bc$$2rdamedia
000711858 338__ $$aonline resource$$bcr$$2rdacarrier
000711858 504__ $$aIncludes bibliographical references and index.
000711858 5050_ $$aBrain-Computer Music Interfacing -- Electroencephalogram-Based Brain-Computer Interface -- Contemporary Approaches to BCMI Using P300 Event Related Potentials -- Prospective View on Sound Synthesis BCI Control in Light of Two Paradigms of Cognitive Neuroscience -- Machine Learning to Identify Neural Correlates of Music and Emotions -- Emotional Responses During Music Listening -- A Tutorial on EEG Signal Processing Techniques for Mental State Recognition in Brain-Computer Interfaces -- An Introduction to EEG Source Analysis with an Illustration of a Study on Error-Related Potentials -- Feature Extraction and Classification of EEG Signals -- On Mapping EEG Information into Music -- Retroaction Between Music and Physiology -- Creative Music Neurotechnology with Symphony of Minds Listening -- Passive Brain-Computer Interfaces.
000711858 506__ $$aAccess limited to authorized users.
000711858 520__ $$aThe emergence of more affordable EEG equipment is fostering a renaissance of approaches to making music with brain signals. This Guide to Brain-Computer Music Interfacing (BCMI) presents a world-class collection of BCMI tools with which adventurous explorers may pursue practical and propositional models in music neurotechnology. The text focuses on how these tools enable the extraction of meaningful control information from brain signals, and discusses how to design effective generative music techniques that respond to this information. Topics and features: Reviews important techniques for hands-free interaction with computers, including event-related potentials with P300 waves Explores questions of semiotic brain-computer interfacing (BCI), and the use of machine learning to dig into relationships among music and emotions Offers tutorials on signal extraction, brain electric fields, passive BCI, and applications for genetic algorithms, along with historical surveys Describes how BCMI research advocates the importance of better scientific understanding of the brain for its potential impact on musical creativity Presents broad coverage of this emerging, interdisciplinary area, from hard-core EEG analysis to practical musical applications This unique and pioneering text/reference will appeal to researchers, graduates and advanced undergraduates from a range of different domains within computer science and beyond, such as music technology and biomedical engineering. Prof. Eduardo R. Miranda is a composer and Professor in Computer Music at Plymouth University, UK, where he is Director of the Interdisciplinary Centre for Computer Music Research (ICCMR). Dr. Julien Castet is a Research Project Manager at Immersion SAS, and a Computer and Art Freelancer based in Bordeaux, France.
000711858 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 15, 2014).
000711858 650_0 $$aBrain-computer interfaces.
000711858 650_0 $$aComputer music.
000711858 7001_ $$aMiranda, Eduardo Reck,$$d1963-$$eeditor.
000711858 7001_ $$aCastet, Julien,$$eeditor.
000711858 85280 $$bebk$$hSpringerLink
000711858 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-1-4471-6584-2$$zOnline Access
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000711858 980__ $$aBIB
000711858 982__ $$aEbook
000711858 983__ $$aOnline
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