Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational Intelligence
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Published By Springer International Publishing

9783030305802, 9783030305819

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Using BCI Technology for Controlling a Mobile Vehicle

Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational Intelligence ◽

10.1007/978-3-030-30581-9_8 ◽

2019 ◽

pp. 71-77

Author(s):

Szczepan Paszkiel

Keyword(s):

Mobile Vehicle

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Using the Moore-Penrose Pseudoinverse for the EEG Signal Reconstruction

Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational Intelligence ◽

10.1007/978-3-030-30581-9_4 ◽

2019 ◽

pp. 19-25

Author(s):

Szczepan Paszkiel

Keyword(s):

Signal Reconstruction ◽

Eeg Signal ◽

Penrose Pseudoinverse

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Data Acquisition Methods for Human Brain Activity

Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational Intelligence ◽

10.1007/978-3-030-30581-9_2 ◽

2019 ◽

pp. 3-9

Author(s):

Szczepan Paszkiel

Keyword(s):

Human Brain ◽

Data Acquisition ◽

Brain Activity

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Computer Game in UNITY Environment for BCI Technology

Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational Intelligence ◽

10.1007/978-3-030-30581-9_12 ◽

2019 ◽

pp. 101-110

Author(s):

Szczepan Paszkiel

Keyword(s):

Computer Game

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Introduction

Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational Intelligence ◽

10.1007/978-3-030-30581-9_1 ◽

2019 ◽

pp. 1-2

Author(s):

Szczepan Paszkiel

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Using BCI Technology for Controlling a Mobile Vehicle Using LabVIEW Environment

Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational Intelligence ◽

10.1007/978-3-030-30581-9_9 ◽

2019 ◽

pp. 79-86

Author(s):

Szczepan Paszkiel

Keyword(s):

Mobile Vehicle

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Using Neural Networks for Classification of the Changes in the EEG Signal Based on Facial Expressions

Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational Intelligence ◽

10.1007/978-3-030-30581-9_7 ◽

2019 ◽

pp. 41-69

Author(s):

Szczepan Paszkiel

Keyword(s):

Neural Networks ◽

Facial Expressions ◽

Eeg Signal

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Summary

Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational Intelligence ◽

10.1007/978-3-030-30581-9_14 ◽

2019 ◽

pp. 129-130

Author(s):

Szczepan Paszkiel

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Using BCI in IoT Implementation

Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational Intelligence ◽

10.1007/978-3-030-30581-9_13 ◽

2019 ◽

pp. 111-128

Author(s):

Szczepan Paszkiel

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Using BCI and VR Technology in Neurogaming

Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational Intelligence ◽

10.1007/978-3-030-30581-9_11 ◽

2019 ◽

pp. 93-99 ◽

Cited By ~ 1

Author(s):

Szczepan Paszkiel

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Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Using BCI Technology for Controlling a Mobile Vehicle

Using the Moore-Penrose Pseudoinverse for the EEG Signal Reconstruction

Data Acquisition Methods for Human Brain Activity

Computer Game in UNITY Environment for BCI Technology

Introduction

Using BCI Technology for Controlling a Mobile Vehicle Using LabVIEW Environment

Using Neural Networks for Classification of the Changes in the EEG Signal Based on Facial Expressions

Summary

Using BCI in IoT Implementation

Using BCI and VR Technology in Neurogaming

Analysis and Classification of EEG Signals for Brain–Computer Interfaces - Studies in Computational Intelligence
Latest Publications