An algorithm for the automatic generation of human-like motions based on examples

  • Authors:
  • Juan Carlos Arenas Mena;Jean-Bernard Hayet;Claudia Esteves

  • Affiliations:
  • Centro de Investigación en Matemáticas, CIMAT, Guanajuato, México;Centro de Investigación en Matemáticas, CIMAT, Guanajuato, México;Departamento de Matemáticas de la Universidad de Guanajuato, Guanajuato, México

  • Venue:
  • MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
  • Year:
  • 2010

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Abstract

In this work we present an algorithm to automatically generate eye-believable animations for virtual human-like characters evolving in cluttered environments. The algorithm has two components: (1) a motion planner for a simplified model of the character that produces admissible paths for this model and (2) a motion generator based on captured sequences to transform the planned path into a trajectory that can be followed by the complete model of the character. This second component uses a motion capture database and a classifier to choose which motions in the database are the most appropriate to follow the computed path. We give examples of successful plans generated with our method.