Human motion coordination: example of a juggler

Author

Multon, Franck ; Arnaldi, Bruno

Author_Institution

IRISA, Rennes, France

fYear

1999

fDate

1999

Firstpage

148

Lastpage

159

Abstract

The paper introduces a novel method for the coordination of human motion based on planification and AI techniques. Motions are considered as black boxes that are activated according to pre-conditions and produce post-conditions in a hybrid continuous and discrete world. Each part of the body is an autonomous entity which cooperates with the others depending on global criteria such as occupation rate and distance to a goal (common to all the entities). This technique makes it possible to easily specify and solve the motion coordination problem of a juggler that deals with a dynamic number of balls in real time

Keywords

computer animation; digital simulation; motion estimation; path planning; real-time systems; AI techniques; autonomous entity; black boxes; computer animation; global criteria; human motion coordination; hybrid continuous/discrete world; juggler; motion coordination problem; occupation rate; planification; post-conditions; pre-conditions; simulation; Application software; Artificial intelligence; Automata; Computational modeling; Computer simulation; Ergonomics; Facial animation; Humans; Medical simulation; Virtual manufacturing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Animation, 1999. Proceedings

Conference_Location

Geneva

ISSN

1087-4844

Print_ISBN

0-7695-0167-2

Type

conf

DOI

10.1109/CA.1999.781208

Filename

781208