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An Emotional Processing Model Using Genetic Algorithm For Networks

Memoirs of the Faculty of Engineering, Yamaguchi University Volume 53 Issue 1 Page 85-90
published_at 2002-10
A030053000111.pdf
[fulltext] 416 KB
Title
GAを用いた感情識別モデル
An Emotional Processing Model Using Genetic Algorithm For Networks
Creators Munechika Koukichi
Source Identifiers
Creator Keywords
Emotional Model Kansei Genetic Algorithm
Research on emotion has been done mainly in psychology. But recently, emotion has been dealt with in Kansei engineering and Kansei Information Processing and some human emotional models have been applied to industrial products. When we think about the interface between persons and robots, It is very important to use emotional expressions for the mutual communication. In this paper, we propose an emotional processing model using genetic algorithm for networks that change the emotional information from the database information to color information. This model has two function parts. First, we define the fundamental emotion groups that have grades. Next, we construct the emotion database and change the emotional information to HVC color information.
Subjects
工学 ( Other)
Languages jpn
Resource Type departmental bulletin paper
Publishers 山口大学工学部
Date Issued 2002-10
File Version Version of Record
Access Rights open access
Relations
[ISSN]1345-5583
[NCID]AA11422756
[isVersionOf] [URI]http://memoirs.lib-e.yamaguchi-u.ac.jp/
Schools 工学部