Real-time target selection based on electroencephalogram (EEG) signal
Electroencephalogram (EEG)-based mobile system are getting mainstream although the true potential of EEG signals are yet to be discovered. With the help of a specific control paradigm, the success rate of a mobile system to reach to a certain location could be increased. To further extend the existe...
Main Authors: | Adha, Muhammad Shaufil, Safri, Norlaili Mat, Othman, Mohd. Afzan |
---|---|
Format: | Article |
Published: |
Asian Research Publishing Network (ARPN)
2015
|
Subjects: |
Similar Items
-
Single channel Electroencephalogram (EEG) brain computer interface (BCI) feature extraction and quantization method for Support Vector Machine classification
by: Izzuddin, Tarmizi Ahmad, et al.
Published: (2018) -
Eye therapy effects on visual stress based on electroencephalogram signals
by: Mat Safri, Norlaili, et al.
Published: (2015) -
EEG patterns for driving wireless control robot
by: Azmy, H., et al.
Published: (2011) -
Mental imagery classification using one-dimensional convolutional neural network for target selection in single-channel BCI-controlled mobile robot
by: Izzuddin, Tarmizi Ahmad, et al.
Published: (2020) -
DSP asic module design for natural frequency of ECG signal
by: Abdul Kadir, Nurul Ashikin, et al.
Published: (2015)