{"title":"3D character creation system using Kansei rule with the fitness extraction method","authors":"Masaki Ando, M. Hagiwara","doi":"10.1109/FUZZY.2009.5277198","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a 3D character creation system using an extraction method of kansei (sensibility) rule with fitness value. In the proposed system, a 3D character reflected kansei of the user is expressed with some constitution attributes. The attributes that are necessary to reflect kansei of the user are extracted as if-then rules by kansei rule extraction method. The consequent part of kansei rule has the fitness. By introducing the fitness, extracted kansei rules have priority. Therefore, kansei rules can be used effectively. 3D characters created by the proposed system and the user's evaluation values are stored as data, and kansei rules are extracted by analyzing the data. The extracted kansei rules are applied to create 3D characters. We have confirmed that the proposed system can create 3D characters reflected kansei of the user through experiments.","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Fuzzy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.2009.5277198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, we propose a 3D character creation system using an extraction method of kansei (sensibility) rule with fitness value. In the proposed system, a 3D character reflected kansei of the user is expressed with some constitution attributes. The attributes that are necessary to reflect kansei of the user are extracted as if-then rules by kansei rule extraction method. The consequent part of kansei rule has the fitness. By introducing the fitness, extracted kansei rules have priority. Therefore, kansei rules can be used effectively. 3D characters created by the proposed system and the user's evaluation values are stored as data, and kansei rules are extracted by analyzing the data. The extracted kansei rules are applied to create 3D characters. We have confirmed that the proposed system can create 3D characters reflected kansei of the user through experiments.