Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/39153
Title: EEG waveform class based brain computer interface
Authors: Cheung, Mile Kwok Yue.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2007
Abstract: 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.
Description: 59 p.
URI: http://hdl.handle.net/10356/39153
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
CheungMileKwokYue2007.pdf
  Restricted Access
Main report6.66 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.