HOME > Detail View

Detail View

Guide to brain-computer music interfacing [electronic resource]

Guide to brain-computer music interfacing [electronic resource]

Material type
E-Book(소장)
Personal Author
Miranda, Eduardo Reck, 1963-. Castet, Julien.
Title Statement
Guide to brain-computer music interfacing [electronic resource] / Eduardo Reck Miranda, Julien Castet, editors.
Publication, Distribution, etc
London :   Springer London :   Imprint: Springer,   2014.  
Physical Medium
1 online resource (xviii, 313 p.) : ill. (some col.).
ISBN
9781447165842
요약
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.
General Note
Title from e-Book title page.  
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Brain-computer interfaces. Computer music.
Short cut
URL
000 00000nam u2200205 a 4500
001 000046042168
005 20200827161015
006 m d
007 cr
008 200814s2014 enka ob 001 0 eng d
020 ▼a 9781447165842
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a QA76.9.U83
082 0 4 ▼a 780.285 ▼2 23
084 ▼a 780.285 ▼2 DDCK
090 ▼a 780.285
245 0 0 ▼a Guide to brain-computer music interfacing ▼h [electronic resource] / ▼c Eduardo Reck Miranda, Julien Castet, editors.
260 ▼a London : ▼b Springer London : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (xviii, 313 p.) : ▼b ill. (some col.).
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a 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 ▼a 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Brain-computer interfaces.
650 0 ▼a Computer music.
700 1 ▼a Miranda, Eduardo Reck, ▼d 1963-.
700 1 ▼a Castet, Julien.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-1-4471-6584-2
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 780.285 Accession No. E14030885 Availability Loan can not(reference room) Due Date Make a Reservation Service M

New Arrivals Books in Related Fields