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Browsing Nineteenth International Conference On Computer Applications (ICCA 2021) by Subject "electro-encephalography (EEG), data annotation, feature extraction, feature selection, time frequency domain analysis, finite impulse response, Logistic regression, machine learning."

Browsing Nineteenth International Conference On Computer Applications (ICCA 2021) by Subject "electro-encephalography (EEG), data annotation, feature extraction, feature selection, time frequency domain analysis, finite impulse response, Logistic regression, machine learning."

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  • Emotional State Classification in Machine Learning for EEG Signals 
    Oo, Zin War; Oo, Khine Khine (ICCA, 2021-02-25)
    Emotional health is very important to build our life. Emotional health is equally as important as our physical health. Dealing with our emotions is a difficult task because we can’t see them. To analysis emotional state ...

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