An efficient control over human running animation with extension of planar hopper model

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@Article{Young-MinKang:1999:echraephm,

• author = "Young-Min Kang and Hwan-Gue Cho and Ee-Taek Lee",
• title = "An efficient control over human running animation with extension of planar hopper model",
• journal = "The Journal of Visualization and Computer Animation",
• year = "1999",
• volume = "10",
• number = "4",
• pages = "215--224",
• keywords = "genetic algorithms, genetic programming, animation, human gait, energy control",
• ISSN = "1049-8907",
• URL = "http://www3.interscience.wiley.com/cgi-bin/abstract/68501003/START",
• DOI = "DOI:10.1002/(SICI)1099-1778(199910/12)10:4%3C215::AID-VIS209%3E3.0.CO%3B2-W",
• size = "10 pages",
• abstract = "The most important goal of character animation is to efficiently control the motions of a character. Until now, many techniques have been proposed for human gait animation. Some techniques have been created to control the emotions in gaits such as tired walking and brisk walking by using parameter interpolation or motion data mapping. Since it is very difficult to automate the control over the emotion of a motion, the emotions of a character model have been generated by creative animators. This paper proposes a human running model based on a one-legged planar hopper with a self-balancing mechanism. The proposed technique exploits genetic programming to optimize movement and can be easily adapted to various character models. We extend the energy minimization technique to generate various motions in accordance with emotional specifications. Copyright c 1999 John Wiley & Sons, Ltd.",

}

Genetic Programming entries for Young-Min Kang Hwan-Gue Cho Ee-Taek Lee

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