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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.
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.
Presents a wealth of information on the development of brain-computer (BCI) technology with a particular focus on data acquisition methods and tools used for analyzing human brain activity
Highlights recent research on the analysis and classification of EEG signals for brain-computer interfaces
Covers research work on brain-computer technology, including identification of the sources of brain signals generated due to the correlation of neuronal cell fractions
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Technik allgemein |
| Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
vi
132 S. |
| ISBN-13: | 9783030305802 |
| ISBN-10: | 3030305805 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Paszkiel, Szczepan |
| Auflage: | 1st edition 2020 |
| Hersteller: |
Springer Nature Switzerland
Springer International Publishing Springer International Publishing AG |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 14 mm |
| Von/Mit: | Szczepan Paszkiel |
| Erscheinungsdatum: | 11.09.2019 |
| Gewicht: | 0,383 kg |
Presents a wealth of information on the development of brain-computer (BCI) technology with a particular focus on data acquisition methods and tools used for analyzing human brain activity
Highlights recent research on the analysis and classification of EEG signals for brain-computer interfaces
Covers research work on brain-computer technology, including identification of the sources of brain signals generated due to the correlation of neuronal cell fractions
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Technik allgemein |
| Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
vi
132 S. |
| ISBN-13: | 9783030305802 |
| ISBN-10: | 3030305805 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Paszkiel, Szczepan |
| Auflage: | 1st edition 2020 |
| Hersteller: |
Springer Nature Switzerland
Springer International Publishing Springer International Publishing AG |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 14 mm |
| Von/Mit: | Szczepan Paszkiel |
| Erscheinungsdatum: | 11.09.2019 |
| Gewicht: | 0,383 kg |
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