Journal of System Simulation
Abstract
Abstract: Aiming at the operators being not able to move freely in the limited capture area of optical motion capture devices, the maintenance operation control of virtual human in Collaborative Virtual Maintenance is studied. The lower limb action of operators is captured by the optical motion capture devices, and the wide range motion of the virtual human is controlled according to the real-time recognition results. In order to control the hand motion process of the virtual human in the maintenance operation, the hand interaction of the virtual human is analyzed and an intelligent assistant method for the maintenance operations based on the dynamic Bayesian network is proposed. A collaborative virtual maintenance operation simulation platform of a hydraulic cylinder is taken to prove the feasibility of the method. The method can control the maintenance operation process of virtual human effectively, and has good performance of real-time wish, interactivity and perceptibility.
Recommended Citation
Feng, Liang; Zhang, Zhili; and Li, Xiangyang
(2020)
"Maintenance Operation Control of Virtual Human in Collaborative Virtual Maintenance,"
Journal of System Simulation: Vol. 32:
Iss.
7, Article 1.
DOI: 10.16182/j.issn1004731x.joss.20-0266
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss7/1
First Page
1201
Revised Date
2020-06-27
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0266
Last Page
1210
CLC
TP391.9
Recommended Citation
Liang Feng, Zhang Zhili, Li Xiangyang. Maintenance Operation Control of Virtual Human in Collaborative Virtual Maintenance[J]. Journal of System Simulation, 2020, 32(7): 1201-1210.
DOI
10.16182/j.issn1004731x.joss.20-0266
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