Detecting Different Tasks Using EEG-Source-Temporal Features
This study proposes a new type of features extracted from Electroencephalography (EEG) signals to distinguish between different tasks. EEG signals are collected from six children aged between two to six years old during opened and closed eyes tasks. For each time-sample, Time Difference of Arriva...
Main Authors: | Shams, Wafa Khazal, Abdul Rahman, Abdul Wahab, Qidwai, Uvais A. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/28931/ http://irep.iium.edu.my/28931/ http://irep.iium.edu.my/28931/1/Detecting_Different_Tasks.pdf |
Similar Items
-
Emotion recognition model using source-temporal features and fuzzy
by: Shams, Wafa Khazal, et al.
Published: (2013) -
Fuzzy model for detection and estimation of the degree of autism spectrum disorder
by: Shams, Wafaa Khazaal, et al.
Published: (2012) -
Affective computing model using source-temporal domain
by: Shams, Wafaa Khazaal, et al.
Published: (2013) -
Classification of EEG correlates on emotion using features from Gaussian mixtures of EEG spectrogram
by: Khosrowabadi, Reza, et al.
Published: (2011) -
Characterizing autistic disorder based on principle component analysis
by: Shams, Wafa Khazal, et al.
Published: (2012)