الفهرس 
Thesis Objectives
Brain Computer InterfaceOnly 14 pages are availabe for public view
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Abstract
Brain Computer Interface (BCI) is a hot research area that has
grown in rehabilitation, biomedical and electrical engineering, computer
sciences and Virtual Reality fields. BCI aims to enhance the quality of life
for all humans. Spelling is one of the challenges BCI applications, which
allow people to type numbers, characters, words, or sentences by
recording the users’ brain activity.
In this thesis, we examine the performance of mental speller that
detects the number thought of by the subjects. Electroencephalograms
(EEG) signal that records the brain activities are acquisition using the
Emotive EEG headset with fourteen channels. The channels, distributed
according to international 10-20 system.
The recording signals are preprocessed using Independent
Component Analysis (ICA), and Auto Regressive (AR) as features
extraction, finally utilized Support Vector Machine (SVM) and K Nearest
Neighbors (KNN) for various Ks as classification phase. Results were
obtained using the Matlab software, which is considered one of the most
powerful mathematical software tools.
The results show that using SVM classifier has achieved an
average Correct Classification Rate (CCR) of only 11.6%. KNN on the
other hand has achieved a CCR of 85.1% when only the vote from one
neighbor is considered. Increasing the number of voters positively affects
the average results. This can be seen when k increased to 3, 5, 7, and 9.
Their classification results moves to 87.3%, 90%, 92.8%, and 94.3%
respectively.The results have shown the efficiency of mental speller with
imagined writing activity. The proposed system has achieved good results
in both performance accuracy and character recognition time. The
accuracy results get better when higher values for K are deployed.
Since the proposed system is to give a new way of communication
channel, we hope that this project will be useful for disabled to help them
spend their life as good as others will.