Cantitate/Preț
Produs

Guide to Brain-Computer Music Interfacing

Editat de Eduardo Reck Miranda, Julien Castet
en Limba Engleză Hardback – 15 oct 2014
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 32747 lei  43-57 zile
  SPRINGER LONDON – 10 sep 2016 32747 lei  43-57 zile
Hardback (1) 33365 lei  43-57 zile
  SPRINGER LONDON – 15 oct 2014 33365 lei  43-57 zile

Preț: 33365 lei

Preț vechi: 41706 lei
-20% Nou

Puncte Express: 500

Preț estimativ în valută:
6385 6633$ 5304£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781447165835
ISBN-10: 1447165837
Pagini: 313
Ilustrații: XVIII, 313 p. 103 illus.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.64 kg
Ediția:2014
Editura: SPRINGER LONDON
Colecția Springer
Locul publicării:London, United Kingdom

Public țintă

Graduate

Cuprins

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

Textul de pe ultima copertă

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.

Caracteristici

The first book of its kind on this new, emerging topic Presents contributions from world leaders in their fields Highly interdisciplinary, appealing to a broad readership from computer science to music technology and biomedical engineering Includes supplementary material: sn.pub/extras