Articles liés à An EEG-based Emotion-driven Music Control System

An EEG-based Emotion-driven Music Control System - Couverture souple

Forteza, Macià

 
9783659477386: An EEG-based Emotion-driven Music Control System
Couverture souple
ISBN 10 : 3659477389 ISBN 13 : 9783659477386
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Macià 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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659477389
ISBN 13 
9783659477386
Reliure
Broché
Nombre de pages
104
Coordonnées du fabricant
non disponible
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