Analysis and Classification of EEG Signals for Brain Computer Interfaces
Material type:
TextSeries: Studies in Computational Intelligence Ed by Janusz Kacprzyk. 852 Publication details: Springer Nature 2020 SwitzerlandDescription: 132pISBN: - 9783030305833
- 006.3 PAS
| Item type | Current library | Item location | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
Reference Book
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NIMA Knowledge Centre | 7th Floor Silence Zone | Reference | 006.3 PAS (Browse shelf(Opens below)) | Not For Loan | T0051882 |
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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