Study on the Emotion Quantification Method using the Facial Expression Feature Space
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- ISHII Masaki
- Department of Machine Intelligence and Systems Engineering, Faculty of Systems Science and Technology, Akita Prefectural University
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- SHIMODATE Toshio
- Department of Computer Science and Engineering, Graduate School of Engineering and Resource Science, Akita University
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- KAGEYAMA Yoichi
- Department of Computer Science and Engineering, Graduate School of Engineering and Resource Science, Akita University
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- TAKAHASHI Tsuyoshi
- Department of Computer Science and Engineering, Graduate School of Engineering and Resource Science, Akita University
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- NISHIDA Makoto
- Department of Computer Science and Engineering, Graduate School of Engineering and Resource Science, Akita University
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Abstract
Facial expression recognition for emotional communication between humans and machines has been investigated in recent studies. Previously, we proposed a method for generating a person-specific emotional feature space using self-organizing maps and counter propagation networks (CPN). The feature space expresses the correspondence between the changes in facial expression patterns and the degree of emotions in a two-dimensional space centered on "pleasantness" and "arousal." In this study, we investigated the number of dimensions and the size of the CPN mapping space for generating a facial expression feature space that allows detailed emotion quantification.
Journal
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- International Journal of the Society of Materials Engineering for Resources
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International Journal of the Society of Materials Engineering for Resources 20 (1), 59-64, 2014
The Society of Materials Engineering for Resources of JAPAN
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Details 詳細情報について
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- CRID
- 1390001205199603072
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- NII Article ID
- 130005095363
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- NII Book ID
- AA1095475X
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- ISSN
- 18846629
- 13479725
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- NDL BIB ID
- 032467222
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed
