Mixing control of animating virtual human for maintenance simulation

Zhiqi Guo, Chuan Lv, Dong Zhou, Xu Peng, Zili Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Over the past decades, control method of animating virtual human, as a significant aspect of virtual maintenance simulation, has been developing in various directions. However, huge time consumption has always been the kernel problem that severely limits a virtual human to be applied to real applications. In this study, a mixing control method is proposed to overcome the limitation and to efficiently create maintenance simulation. The method mainly realizes the combination of immersive and non-immersive control methods which make the information and actions keeping consistently throughout a simulation process. To minimize time consumption, advantages of the existing control methods are employed to generate motions of a virtual human for each new application. To verify the proposed mixing control method, a maintenance simulation task of a single chip on a missile was applied to. The results show that the mixing control is found to be an effective tool for maintenance simulation.

Original languageEnglish
Title of host publicationProceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1091-1098
Number of pages8
ISBN (Electronic)9781467384148
DOIs
StatePublished - 27 Sep 2016
Externally publishedYes
Event12th World Congress on Intelligent Control and Automation, WCICA 2016 - Guilin, China
Duration: 12 Jun 201615 Jun 2016

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume2016-September

Conference

Conference12th World Congress on Intelligent Control and Automation, WCICA 2016
Country/TerritoryChina
CityGuilin
Period12/06/1615/06/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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