Analysis and Classification of EEG Signals for Brain–Computer Interfaces: 852 (Studies in Computational Intelligence, 852) - Tapa dura

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9783030305802: Analysis and Classification of EEG Signals for Brain–Computer Interfaces: 852 (Studies in Computational Intelligence, 852)
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ISBN 10: 3030305805 ISBN 13: 9783030305802
Editorial: Springer, 2019

Sinopsis

This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain-computer interfaces. In addition, it offers a wealth of information, ranging from the description of data acquisition methods in the field of human brain work, to the use of Moore-Penrose pseudo inversion to reconstruct the EEG signal and the LORETA method to locate sources of EEG signal generation for the needs of BCI technology.

In turn, the book explores the use of neural networks for the classification of changes in the EEG signal based on facial expressions. Further topics touch on machine learning, deep learning, and neural networks. The book also includes dedicated implementation chapters on the use of brain-computer technology in the field of mobile robot control based on Python and the LabVIEW environment. In closing, it discusses the problem of the correlation between brain-computer technology and virtual reality technology.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.

De la contraportada

This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain computer interfaces. In addition, it offers a wealth of information, ranging from the description of data acquisition methods in the field of human brain work, to the use of Moore Penrose pseudo inversion to reconstruct the EEG signal and the LORETA method to locate sources of EEG signal generation for the needs of BCI technology.

In turn, the book explores the use of neural networks for the classification of changes in the EEG signal based on facial expressions. Further topics touch on machine learning, deep learning, and neural networks. The book also includes dedicated implementation chapters on the use of brain computer technology in the field of mobile robot control based on Python and the LabVIEW environment. In closing, it discusses the problem of the correlation between brain computer technology and virtual reality technology.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2019
Idioma
Inglés
ISBN 10 
3030305805
ISBN 13 
9783030305802
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
140
Contacto del fabricante
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Alemania

Otras ediciones populares con el mismo título

9783030305833: Analysis and Classification of EEG Signals for Brain–Computer Interfaces: 852 (Studies in Computational Intelligence)

Edición Destacada

ISBN 10:  303030583X ISBN 13:  9783030305833
Editorial: Springer, 2020
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