TY - GEN
T1 - 3D character creation system using kansei rule with the fitness extraction method
AU - Ando, Masaki
AU - Hagiwara, Masafumi
PY - 2009/12/10
Y1 - 2009/12/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=71249118691&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=71249118691&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2009.5277198
DO - 10.1109/FUZZY.2009.5277198
M3 - Conference contribution
AN - SCOPUS:71249118691
SN - 9781424435975
T3 - IEEE International Conference on Fuzzy Systems
SP - 1507
EP - 1512
BT - 2009 IEEE International Conference on Fuzzy Systems - Proceedings
T2 - 2009 IEEE International Conference on Fuzzy Systems
Y2 - 20 August 2009 through 24 August 2009
ER -