Classification of EEG signals using MLP based on categorical and dimensional perceptions of emotions.
Emotions are frequently studied based on two approaches; categorical and dimensional. In this study, Multi- Layer Perceptron (MLP) was employed to classify four affective states as posited from these approaches. It was observed that emotional states viewed from the dimensional perspective are w...
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| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | en en |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/30842/1/Table_of_Content.pdf http://irep.iium.edu.my/30842/2/89.pdf http://irep.iium.edu.my/30842/ http://ict4m.org/ |
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| Summary: | Emotions are frequently studied based on two
approaches; categorical and dimensional. In this study, Multi-
Layer Perceptron (MLP) was employed to classify four
affective states as posited from these approaches. It was
observed that emotional states viewed from the dimensional
perspective are well discriminated using memory test. In
addition to that, the dynamic for each of the four emotions
were also presented, in which it was also indicated that an
emotional state does not occur abruptly. |
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