IEC-based motion retrieval system using Laban movement analysis

Authors:
Yuki Wakayama;Seiji Okajima;Shigeru Takano;Yoshihiro Okada
Affiliations:
Graduate School of ISEE, Kyushu University, Nishi-ku, Fukuoka, Japan;Graduate School of ISEE, Kyushu University, Nishi-ku, Fukuoka, Japan;Graduate School of ISEE, Kyushu University, Nishi-ku, Fukuoka, Japan;Graduate School of ISEE, Kyushu University, Nishi-ku, Fukuoka, Japan
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
Year:
2010

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Abstract

This paper proposes a motion retrieval system using Interactive Evolutionary Computation (IEC) based on Genetic Algorithm (GA) and motion features defined based on Laban Movement Analysis (LMA) used for the similarity calculation of motions in the system. The proposed IEC-based motion retrieval system allows the user to retrieve motions similar to his/her required motions easily and intuitively only through the evaluation repeatedly performed by scoring satisfaction points to retrieved motions without entering any search queries. The authors newly define LMA-based motion features to represent them as genes of GA used for the similarity calculation in the system. This paper also clarify that the LMA-based motion features are available as similarity features of motions by showing results of analyzing them using SOM visualization.