An EEG-based Emotion-driven Music Control System - Softcover

Name: An EEG-based Emotion-driven Music Control System
Author: Forteza, Maci�
ISBN: 9783659477386

Forteza, Maci�

9783659477386: An EEG-based Emotion-driven Music Control System

Softcover

ISBN 10: 3659477389 ISBN 13: 9783659477386

Verlag: LAP LAMBERT Academic Publishing, 2013

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Brain-Computer Music Interfaces (BCMIs) aim to allow users to control music using their brain activity information. In this thesis the design and implementation of a BCMI for controlling the expressive content of musical pieces using emotions is presented. Human emotions can be characterized as a combination of arousal and valence values. However, the variability of these values across different subjects complicates the use of emotions for controlling music expression. Two experiments are presented to study the best approach for calculating arousal and valence value boundaries. The obtained results indicate that using images with emotional content in the process of calibrating the BCMI is less reliable than instructing the subjects to consciously modulate their excitation/relaxation state. Another conclusion is that the computed valence value is less reliable than the arousal value for controlling the BCMI. The impact of using both music and visual feedback in the BCMI is investigated and the main conclusion is that most of the users participating in the experiment are able to control better the BCMI when receiving only musical feedback compared to both music and visual feedback.

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�ber die Autorin bzw. den Autor

Maci� Forteza was born in Mallorca (Spain) in 1985. He graduated in Computer Science at Universidad de Salamanca. Studying the master in Sound and Music Computing at Universitat Pompeu Fabra (Barcelona) he discovered the amazing topic of Brain Computer Interfaces.

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Verlag: LAP LAMBERT Academic Publishing
Erscheinungsdatum: 2013
Sprache: Englisch
ISBN 10: 3659477389
ISBN 13: 9783659477386
Einband: Taschenbuch
Anzahl der Seiten: 104
Kontakt zum Hersteller: Nicht verf�gbar
Verantwortliche Person: BoD - Books on Demand GmbH
info@bod.de

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An EEG-based Emotion-driven Music Control System

Maci� Forteza

Verlag: LAP LAMBERT Academic Publishing Okt 2013, 2013

ISBN 10: 3659477389 ISBN 13: 9783659477386

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Brain-Computer Music Interfaces (BCMIs) aim to allow users to control music using their brain activity information. In this thesis the design and implementation of a BCMI for controlling the expressive content of musical pieces using emotions is presented. Human emotions can be characterized as a combination of arousal and valence values. However, the variability of these values across different subjects complicates the use of emotions for controlling music expression. Two experiments are presented to study the best approach for calculating arousal and valence value boundaries. The obtained results indicate that using images with emotional content in the process of calibrating the BCMI is less reliable than instructing the subjects to consciously modulate their excitation/relaxation state. Another conclusion is that the computed valence value is less reliable than the arousal value for controlling the BCMI. The impact of using both music and visual feedback in the BCMI is investigated and the main conclusion is that most of the users participating in the experiment are able to control better the BCMI when receiving only musical feedback compared to both music and visual feedback. 104 pp. Englisch. Bestandsnummer des Verk�ufers 9783659477386

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An EEG-based Emotion-driven Music Control System

Maci� Forteza

Verlag: LAP LAMBERT Academic Publishing, 2013

ISBN 10: 3659477389 ISBN 13: 9783659477386

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An EEG-based Emotion-driven Music Control System

Maci� Forteza

Verlag: LAP LAMBERT Academic Publishing, 2013

ISBN 10: 3659477389 ISBN 13: 9783659477386

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Brain-Computer Music Interfaces (BCMIs) aim to allow users to control music using their brain activity information. In this thesis the design and implementation of a BCMI for controlling the expressive content of musical pieces using emotions is presented. Human emotions can be characterized as a combination of arousal and valence values. However, the variability of these values across different subjects complicates the use of emotions for controlling music expression. Two experiments are presented to study the best approach for calculating arousal and valence value boundaries. The obtained results indicate that using images with emotional content in the process of calibrating the BCMI is less reliable than instructing the subjects to consciously modulate their excitation/relaxation state. Another conclusion is that the computed valence value is less reliable than the arousal value for controlling the BCMI. The impact of using both music and visual feedback in the BCMI is investigated and the main conclusion is that most of the users participating in the experiment are able to control better the BCMI when receiving only musical feedback compared to both music and visual feedback. Bestandsnummer des Verk�ufers 9783659477386

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An EEG-based Emotion-driven Music Control System

Maci� Forteza

Verlag: LAP LAMBERT Academic Publishing Okt 2013, 2013

ISBN 10: 3659477389 ISBN 13: 9783659477386

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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Brain-Computer Music Interfaces (BCMIs) aim to allow users to control music using their brain activity information. In this thesis the design and implementation of a BCMI for controlling the expressive content of musical pieces using emotions is presented. Human emotions can be characterized as a combination of arousal and valence values. However, the variability of these values across different subjects complicates the use of emotions for controlling music expression. Two experiments are presented to study the best approach for calculating arousal and valence value boundaries. The obtained results indicate that using images with emotional content in the process of calibrating the BCMI is less reliable than instructing the subjects to consciously modulate their excitation/relaxation state. Another conclusion is that the computed valence value is less reliable than the arousal value for controlling the BCMI. The impact of using both music and visual feedback in the BCMI is investigated and the main conclusion is that most of the users participating in the experiment are able to control better the BCMI when receiving only musical feedback compared to both music and visual feedback.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 104 pp. Englisch. Bestandsnummer des Verk�ufers 9783659477386

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