Human motion retrieval system based on LMA features using interactive evolutionary computation method

Seiji Okajima, Yuki Wakayama, Yoshihiro Okada

Research output: Chapter in Book/Report/Conference proceedingChapter

10 Citations (Scopus)

Abstract

Recently, many motion data have been created because 3D CG animations have become in great demand for movie and video game industries. We need any tools that help us to efficiently retrieve required motions from such a motion data pool. The authors have already proposed a motion retrieval system using Interactive Evolutionary Computation (IEC) based on Genetic Algorithm (GA) and motion features based on Laban Movement Analysis (LMA). In this paper, the authors especially clarify the usefulness of the system by showing experimental results of motion retrievals practically performed by several users. The results indicate that the proposed system is effective for retrieving motion data from a motion database including many motions more than one thousand.

Original languageEnglish
Title of host publicationInnovations in Intelligent Machines - 2: Intelligent Paradigms and Applications
Pages117-130
Number of pages14
Volume376
DOIs
Publication statusPublished - 2012

Publication series

NameStudies in Computational Intelligence
Volume376
ISSN (Print)1860949X

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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    Okajima, S., Wakayama, Y., & Okada, Y. (2012). Human motion retrieval system based on LMA features using interactive evolutionary computation method. In Innovations in Intelligent Machines - 2: Intelligent Paradigms and Applications (Vol. 376, pp. 117-130). (Studies in Computational Intelligence; Vol. 376). https://doi.org/10.1007/978-3-642-23190-2-9