Computational modeling of mood from sequence of emotions
In the recent years, more studies that aim to make computers understand, experience and respond to various emotional states accordingly through computational models have been widely researched. Conversely, little has been done to recognize the medium term of emotion, such as mood. Thus, in this stud...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
American Scientific Publishers
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/50839/ http://irep.iium.edu.my/50839/ http://irep.iium.edu.my/50839/ http://irep.iium.edu.my/50839/2/50839_Computational_modeling_of_mood_from_sequence_of_emotions_SCOPUS.pdf http://irep.iium.edu.my/50839/3/50839_Computational_modeling_of_mood_from_sequence_of_emotions.pdf |
| Summary: | In the recent years, more studies that aim to make computers understand, experience and respond to various emotional states accordingly through computational models have been widely researched. Conversely, little has been done to recognize the medium term of emotion, such as mood. Thus, in this study, a mood modeling was proposed to recognize mood from a sequence of several emotional states. The input for the proposed mood model was derived in the form of electroencephalogram (EEG) signals, which were captured from five subjects during eyes close, and eyes open. Our analysis indicates that mood can be recognized either from eyes close or from eyes open. |
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