Analysis and Classification of EEG Signals for Brain Computer Interfaces

By:

Paszkiel, Szczepan

Material type: Text

TextSeries: Studies in Computational Intelligence Ed by Janusz Kacprzyk. 852 Publication details: Springer Nature 2020 SwitzerlandDescription: 132pISBN:

9783030305833

Subject(s):

Computer Engineering

DDC classification:

006.3 PAS

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Book	NIMA Knowledge Centre	7th Floor Silence Zone	Reference	006.3 PAS (Browse shelf(Opens below))	Not For Loan		T0051882

Total holds: 0

Introduction
Data Acquisition Methods for Human Brain Activity
Brain–Computer Interface Technology
Using the Moore-Penrose Pseudoinverse for the EEG Signal Reconstruction
Using the LORETA Method for Localization of the EEG Signal Sources in BCI Technology
Data Analysis of Human Brain Activity Using MATLAB Environment with EEGLAB
Using Neural Networks for Classification of the Changes in the EEG Signal Based on Facial Expressions
Using BCI Technology for Controlling a Mobile Vehicle
Using BCI Technology for Controlling a Mobile Vehicle Using LabVIEW Environment
Augmented Reality (AR) Technology in Correlation with Brain–Computer Interface Technology
Using BCI and VR Technology in Neurogaming
Computer Game in UNITY Environment for BCI Technology
Using BCI in IoT Implementation

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