logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Guide To Braincomputer Music Interfacing 1st Edition Eduardo Reck Miranda

  • SKU: BELL-4929560
Guide To Braincomputer Music Interfacing 1st Edition Eduardo Reck Miranda
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Guide To Braincomputer Music Interfacing 1st Edition Eduardo Reck Miranda instant download after payment.

Publisher: Springer-Verlag London
File Extension: PDF
File size: 7.64 MB
Pages: 313
Author: Eduardo Reck Miranda, Julien Castet (eds.)
ISBN: 9781447165835, 9781447165842, 1447165837, 1447165845
Language: English
Year: 2014
Edition: 1

Product desciption

Guide To Braincomputer Music Interfacing 1st Edition Eduardo Reck Miranda by Eduardo Reck Miranda, Julien Castet (eds.) 9781447165835, 9781447165842, 1447165837, 1447165845 instant download after payment.

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.

Related Products