EEG signal analysis and characterization for the aid of disabled people
The effectiveness of assistive devices for disabled people is often limited by the human machine interface. This research proposes an intelligent wheelchair system especially for severely disabled people based on analysing electroencephalographic signals by using discrete wavelet transform and hi...
Main Authors: | Reaz, Mamun Bin Ibne, Chowdhury, Md. Sazzad Hossien, Ibrahimy, Muhammad Ibn, Mohd-Yasin, Faisal |
---|---|
Format: | Article |
Language: | English |
Published: |
WIT Press
2007
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/29542/ http://irep.iium.edu.my/29542/ http://irep.iium.edu.my/29542/ http://irep.iium.edu.my/29542/1/EEG_signal_analysis_and_characterization_for.pdf |
Similar Items
-
Wavelet based noise removal from EMG signals
by: Chowdhury, Md. Sazzad Hossien, et al.
Published: (2007) -
Brain computer interface based wheelchair for disable people using electroencephalography signal
by: Ibrahimy, Muhammad Ibn
Published: (2017) -
Brain computer interface based wheelchair for disable people using electroencephalography signal
by: Ibrahimy, Muhammad Ibn
Published: (2018) -
Classification of multichannel EEG signal by linear discriminant analysis
by: Hasan, Mohammad Rubaiyat, et al.
Published: (2015) -
Classification of multichannel EEG signal by linear discriminant analysis
by: Hasan, Mohammad Rubaiyat, et al.
Published: (2015)