DocumentCode :
2688550
Title :
An Avatar Motion Generation Method Based on Inverse Kinematics and Interactive Evolutionary Computation
Author :
Akase, Ryuya ; Nishino, Hiroaki ; Kagawa, Tsuneo ; Utsumiya, Kouichi ; Okada, Yoshihiro
Author_Institution :
Dept. of Comput. Sci. & Intell. Syst., Oita Univ., Oita, Japan
fYear :
2012
fDate :
4-6 July 2012
Firstpage :
741
Lastpage :
746
Abstract :
This paper presents an automatic animation generation method for 3DCG humanoid avatars. We can create 3DCG animation even at the level of individuals by using commercially available software tools. Creating 3DCG animation, however, demands a variety of expertise and a mastery of 3DCG authoring tools. Therefore, people may easily be bothered for creating 3DCG animation contents. To solve the problem, we designed and developed a system allowing even novices to create 3DCG animation contents without special knowledge and programming skills. The proposed method uses Inverse Kinematics (IK) and Interactive Evolutionary Computation (IEC) for readily designing and generating avatar motions. The system only requires users to indicate some evaluation values and creates their preferable avatar motions based on the specified values. Additionally, we propose a new operation method to reduce the users´ burden in an IEC-based 3DCG contents generation.
Keywords :
avatars; computer animation; evolutionary computation; humanoid robots; robot kinematics; software tools; 3DCG authoring tool; 3DCG humanoid avatar; IEC; IK; automatic animation generation method; interactive evolutionary computation; inverse kinematics; software tool; Animation; Avatars; Gene expression; IEC; Joints; Trajectory; 3DCG animation; Interactive Evolutionary Computation; Inverse Kinematics; human computer interaction; humanoid avatar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on
Conference_Location :
Palermo
Print_ISBN :
978-1-4673-1233-2
Type :
conf
DOI :
10.1109/CISIS.2012.124
Filename :
6245663
Link To Document :
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