Research on Motion Capture in Substation Virtual Environment

Authors

Yuping Huo, 1. Datong Electric Power Senior Technical School, Datong 037049, China;;
Xiu’e Zhang, 1. Datong Electric Power Senior Technical School, Datong 037049, China;;
Li Bing, 1. Datong Electric Power Senior Technical School, Datong 037049, China;;
Weiqing Li, 2. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;

Abstract

Abstract: In the immersive transformer training simulator, using MEMS inertial motion capture system, the operator’s motion data was captured and analyzed. According to the typical operation in the substation virtual environment, the semantics of interaction were studied. SVM classification algorithm based on grid search and cross validation was used to recognize operator’s gestures. The identified gestures were used to actuate the virtual human’s action in the substation virtual environment. A priority classified character animation method with deformation weight control was proposed to render different priority level actions at the same time. Two modes of virtual operation performance, character animation sequences and real time data-driven, were supported. An immersive transformer training simulator was realized and it worked fine.

Recommended Citation

Huo, Yuping; Zhang, Xiu’e; Bing, Li; and Li, Weiqing (2020) "Research on Motion Capture in Substation Virtual Environment," Journal of System Simulation: Vol. 28: Iss. 10, Article 49.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss10/49

First Page

2632

Revised Date

2016-07-14

DOI Link

https://doi.org/

Last Page

2637

CLC

TP391.9

Recommended Citation

Huo Yuping, Zhang Xiu’e, Li Bing, Li Weiqing. Research on Motion Capture in Substation Virtual Environment[J]. Journal of System Simulation, 2016, 28(10): 2632-2637.