UniMAP Library Digital Repository JSPUI
UniMAP Library Digital Repository preserves and enables easy and open access to all types of digital content including text, images, moving images, mpegs and data sets
Learn More
Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/10176| Title: | EEG signal recognition for brain word interface using wavelet decomposition |
| Authors: | Hema, Chengalvarayan Radhakrishnamurthy Leong, Shi Wei Erdy Sulino, Mohd Muslim Tan hemacr@yahoo.com |
| Keywords: | Brain word dictionary (BWD) EEG signals Communication |
| Issue Date: | 21-May-2010 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | p.1-2 |
| Series/Report no.: | Proceedings of the 6th International Colloquium on Signal Processing & Its Applications (CSPA) 2010 |
| Abstract: | A simple brain word dictionary (BWD) system using wavelet decomposition to form feature sets is developed. A BWD is an essential tool in the rehabilitation of paralyzed individuals which converts the brain EEG signals into audio words. A feed forward neural network classifier is proposed to classify ten simple words. EEG signals acquired from two subjects are used in the experiments. Performance of the single trial analysis has an average recognition rate of 87.7%. |
| Description: | Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| URI: | http://ezproxy.unimap.edu.my:2080/stamp/stamp.jsp?tp=&arnumber=5545306 http://dspace.unimap.edu.my/123456789/10176 |
| ISBN: | 978-1-4244-7122-5 |
| Appears in Collections: | Conference Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| EEG signal recognition for brain word interface using wavelet decomposition.pdf | 38.31 kB | Adobe PDF | View/Open |
Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.