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Analysis and Classification of EEG Signals for Brain–Computer Interfaces (Studies in Computational Intelligence, 852) - Hardcover
Synopsis
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."synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date2019
- ISBN 10 3030305805
- ISBN 13 9783030305802
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages140
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Analysis and classification of EEG signals for braincomputer interfaces.
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vi, 132 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in computational intelligence, volume 852. Sprache: Englisch. Seller Inventory # 13214DB
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Analysis and Classification of EEG Signals for Brain?Computer Interfaces (Studies in Computational Intelligence, 852)
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Analysis and Classification of EEG Signals for Brain¿Computer Interfaces
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Springer International Publishing, 2019
ISBN 10: 3030305805
ISBN 13: 9783030305802
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Condition: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand.2019. | Seiten: 140 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 35501524/2
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Analysis and Classification of EEG Signals for Brain?Computer Interfaces (Studies in Computational Intelligence, 852)
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Analysis and Classification of EEG Signals for Brain¿Computer Interfaces
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Springer International Publishing Sep 2019, 2019
ISBN 10: 3030305805
ISBN 13: 9783030305802
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Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 140 pp. Englisch. Seller Inventory # 9783030305802
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Analysis and Classification of EEG Signals for Brain¿Computer Interfaces
Published by
Springer International Publishing, 2019
ISBN 10: 3030305805
ISBN 13: 9783030305802
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Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783030305802
Quantity: 1 available
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Analysis and Classification of EEG Signals for Brain?Computer Interfaces
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Analysis and Classification of EEG Signals for Brain-Computer Interfaces
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ISBN 10: 3030305805
ISBN 13: 9783030305802
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Analysis and Classification of EEG Signals for Brain?Computer Interfaces
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Analysis and Classification of EEG Signals for Brain?Computer Interfaces
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