EEG analysis for understanding stress based on affective model basis function
Coping with stress has shown to be able to avoid many complications in medical condition. In this paper we present an alternative method in analyzing and understanding stress using the four basic emotions of happy, calm, sad and fear as our basis function. Electroencephalogram (EEG) signals wer...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/9638/1/9638.pdf http://irep.iium.edu.my/9638/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5973899&tag=1 |
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| Summary: | Coping with stress has shown to be able to avoid many
complications in medical condition. In this paper we
present an alternative method in analyzing and
understanding stress using the four basic emotions of
happy, calm, sad and fear as our basis function.
Electroencephalogram (EEG) signals were captured from
the scalp of the brain and measured in responds to various
stimuli from the four basic emotions to stimulating stress
base on the IAPS emotion stimuli. Features from the EEG
signals were extracted using the Kernel Density
Estimation (KDE) and classified using the Multilayer
Perceptron (MLP), a neural network classifier to obtain
accuracy of the subject’s emotion leading to stress.
Results have shown the potential of using the basic
emotion basis function to visualize the stress perception
as an alternative tool for engineers and psychologist.
Keywords: Electroencephalography (EEG),
Kernel Density Estimation (KDE), Multi-layer Perceptron
(MLP), Valance (V), Arousal (A) |
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