Computational Modeling of Mood from Sequence of Emotions

被引：0
|
作者：
Handayani, Dini [1 ]
Yaacob, Hamwira [1 ]
Rahman, Abdul Wahab Abdul [1 ]
Sediono, Wahju [2 ]
Shah, Asadullah [1 ]
机构：
[1] Kuliyyah Informat Commun & Technol, Dept Comp Sci, Selangor, Malaysia
[2] Int Islamic Univ Malaysia Kuala Lumpur, Kuliyyah Engn, Dept Mechatron, Kuala Lumpur, Malaysia
来源：
ADVANCED SCIENCE LETTERS | 2015年 / 21卷 / 10期
关键词：
Computational Modeling; Mood; Emotions; Affective Computing;
D O I：
10.1166/asl.2015.6463
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
引用
收藏
页码：2997 / 3001
页数：5
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