| dc.contributor.author | Hema, Chengalvarayan Radhakrishnamurthy | |
| dc.contributor.author | Leong, Shi Wei | |
| dc.contributor.author | Erdy Sulino, Mohd Muslim Tan | |
| dc.date.accessioned | 2010-11-10T08:20:14Z | |
| dc.date.available | 2010-11-10T08:20:14Z | |
| dc.date.issued | 2010-05-21 | |
| dc.identifier.citation | p.1-2 | en_US |
| dc.identifier.isbn | 978-1-4244-7122-5 | |
| dc.identifier.uri | http://ezproxy.unimap.edu.my:2080/stamp/stamp.jsp?tp=&arnumber=5545306 | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/10176 | |
| dc.description | Link to publisher's homepage at http://ieeexplore.ieee.org/ | en_US |
| dc.description.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%. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.ispartofseries | Proceedings of the 6th International Colloquium on Signal Processing & Its Applications (CSPA) 2010 | en_US |
| dc.subject | Brain word dictionary (BWD) | en_US |
| dc.subject | EEG signals | en_US |
| dc.subject | Communication | en_US |
| dc.title | EEG signal recognition for brain word interface using wavelet decomposition | en_US |
| dc.type | Working Paper | en_US |
| dc.contributor.url | hemacr@yahoo.com | en_US |
