Motion Reconstruction and Simulation Using Sparse Inertial Sensors

doi:10.16182/j.issn1004731x.joss.201710005

Journal of System Simulation ›› 2017, Vol. 29 ›› Issue (10): 2261-2267.doi: 10.16182/j.issn1004731x.joss.201710005

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Motion Reconstruction and Simulation Using Sparse Inertial Sensors

Cui Lijun¹, Huang Tianyu¹, Feng Feng², Zhang Jie³, Yang Kai⁴, Liu Dong⁵

1. School of Software, Beijing Institute of Technology, Beijing 100081, China;
2. Equipment Department of China PLA Air Force,Beijing 100854, China;
3. AVIC Chengdu Aircraft Design & Research Institute, Chengdu 610091, China;
4. Science and Technology on Special System Simulation Laboratory, Beijing 100854, China;
5. China Aerospace Science & Industry Corp, Beijing 100048, China

Received:2015-10-08 Published:2020-06-04

Abstract

Abstract: A method was proposed to reconstruct high-dimensional full-body motion sequences from low-dimensional control data collected by sparse inertial sensors. The approach solved the mapping problem from low dimension to high dimension. A numerical similarity- geometrical similarity-time continuity model was setup to ensure the reconstructed motion candidates in numerical-logical similarity. The gap between angle and angular acceleration was eliminated by acceleration reconstruction. An energy function was introduced to optimize the reconstructed results which guaranteed the accuracy. The analysis and comparison experiments show that the proposed method can reconstruct nature and credible motions in real-time and can be applied in low-cost full-body motion capture by using few inertial sensors.

Key words: motion capture, motion reconstruction, low-dimensional control signals, motion database, motion retrieval

CLC Number:

TP393.0

Cui Lijun, Huang Tianyu, Feng Feng, Zhang Jie, Yang Kai, Liu Dong. Motion Reconstruction and Simulation Using Sparse Inertial Sensors[J]. Journal of System Simulation, 2017, 29(10): 2261-2267.

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Motion Reconstruction and Simulation Using Sparse Inertial Sensors

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