£44.99
Publication Date:
03 Oct 2014
Publisher:
Springer Nature
For delivery:
Download available
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.
Contents
Brain-Computer Music Interfacing: Interdisciplinary Research at the Crossroads of Music, Science and Biomedical Engineering Eduardo Reck Miranda Electroencephalogram-Based Brain-Computer Interface: An Introduction Ramaswamy Palaniappan Contemporary Approaches to BCMI Using P300 Event Related Potentials Mick Grierson, and Chris Kiefer Prospective View on Sound Synthesis BCI Control in Light of Two Paradigms of Cognitive Neuroscience Mitsuko Aramaki, Jean-Arthur Micoulaud-Franchi, Richard Kronland-Martinet, Jean Vion-Dury, and Solvi Ystad Machine Learning to Identify Neural Correlates of Music and Emotions Ian Daly, Etienne B. Roesch, James Weaver, and Slawomir J. Nasuto Emotional Responses During Music Listening Konstantinos Trochidis and Emmanuel Bigan A Tutorial on EEG Signal Processing Techniques for Mental State Recognition in Brain-Computer Interfaces Fabien Lotte An Introduction to EEG Source Analysis with an Illustration of a Study on Error-Related Potentials Marco Congedo, Sandra Rousseau, and Christian Jutten Feature Extraction and Classification of EEG Signals: The Use of a Genetic Algorithm for an Application on Alertness Prediction Pierrick Legrand, Laurent Vezard, Marie Chavent, Freederique Faita-Ainseba, and Leonardo Trujillo On Mapping EEG Information into Music Joel Eaton and Eduardo Reck Miranda Retroaction Between Music and Physiology: An Approach from the Point of View of Emotions Pierre-Henri Vulliard, Joseph Larralde, and Myriam Desainte-Catherine Creative Music Neurotechnology with Symphony of Minds Listening Eduardo Reck Miranda, Dan Lloyd, Zoran Josipovic, and Duncan Williams Passive Brain-Computer Interfaces Laurent George and Anatole Lecuyer
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