EEG waveform class based brain computer interface
59 p.
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2010
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sg-ntu-dr.10356-391532023-07-04T15:25:53Z EEG waveform class based brain computer interface Cheung, Mile Kwok Yue. Pina Marziliano School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems 59 p. The objective of this project is to study and develop a Brain Computer Interface (BCI) model which can classify EEG signals according to different eyeball movements such as upwards, downwards, towards the left and towards the right from the center position. In order to analyse the data, digital signal processing is applied to recognize the waveform and extract further useful information, which can translate human intentions to a specific command. Master of Science (Signal Processing) 2010-05-21T04:46:12Z 2010-05-21T04:46:12Z 2007 2007 Thesis http://hdl.handle.net/10356/39153 application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Cheung, Mile Kwok Yue. EEG waveform class based brain computer interface |
description |
59 p. |
author2 |
Pina Marziliano |
author_facet |
Pina Marziliano Cheung, Mile Kwok Yue. |
format |
Theses and Dissertations |
author |
Cheung, Mile Kwok Yue. |
author_sort |
Cheung, Mile Kwok Yue. |
title |
EEG waveform class based brain computer interface |
title_short |
EEG waveform class based brain computer interface |
title_full |
EEG waveform class based brain computer interface |
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EEG waveform class based brain computer interface |
title_full_unstemmed |
EEG waveform class based brain computer interface |
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eeg waveform class based brain computer interface |
publishDate |
2010 |
url |
http://hdl.handle.net/10356/39153 |
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1772828105224749056 |