menu
{ "item_title" : "Guide to Brain-Computer Music Interfacing", "item_author" : [" Eduardo Reck Miranda", "Julien Castet "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/44/717/210/1447172108_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Guide to Brain-Computer Music Interfacing|Eduardo Reck Miranda

Guide to Brain-Computer Music Interfacing

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781447172109
  • ISBN-10: 1447172108
  • Publisher: Springer
  • Publish Date: September 2016
  • Dimensions: 9.21 x 6.14 x 0.69 inches
  • Shipping Weight: 1.03 pounds
  • Page Count: 313

Related Categories

You May Also Like...

    1

BAM Customer Reviews