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
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.
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