| Visualization of music impression in facial expression to represent emotion |
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Conferences in Research and Practice in Information Technology Series; Vol. 166
archive
Proceedings of the 3rd Asia-Pacific conference on Conceptual modelling - Volume 53
table of contents
Hobart, Australia
Pages: 55 - 64
Year of Publication: 2006
ISBN ~ ISSN:1445-1336 , 1-920-68235-X
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Authors
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Takafumi Nakanishi
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Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan
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Takashi Kitagawa
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Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan
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| Publisher |
Australian Computer Society, Inc.
Darlinghurst, Australia, Australia
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| Bibliometrics |
Downloads (6 Weeks): 13, Downloads (12 Months): 76, Citation Count: 0
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ABSTRACT
In this paper, we propose a visualization method of music impression in facial expression to represent emotion. We apply facial expression to represent the complicated and mixed emotions. This method can generate facial expression corresponding to impressions of music data by measurement of relationship between each basic emotion for facial expression and impressions extracted from music data. The feature of this method is a realization of an integration between music data and the facial expression that convey various emotions effectively. One of the important issues is a realization of communication media corresponding to human Kansei with less difficulty for a user. Facial expression can express complicated emotions with which various emotions are mixed. Assuming that an integration between existing mediadata and facial expression is possible, visualization corresponding to human Kansei with less difficulty realized for a user.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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INDEX TERMS
Primary Classification:
I.
Computing Methodologies
I.4
IMAGE PROCESSING AND COMPUTER VISION
I.4.8
Scene Analysis
Subjects:
Object recognition
Additional Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
H.5.5
Sound and Music Computing
Subjects:
Signal analysis, synthesis, and processing
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.0
General
Subjects:
Cognitive simulation
General Terms:
Algorithms,
Design,
Human Factors,
Theory
Keywords:
Kansei,
facial expression,
impression,
mediadata,
music data
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