Full-Body Animation of Human Locomotion in Reduced Gravity Using Physics-Based Control

Yun Hyeong Kim; Taesoo Kwon; Daeun Song; Young J. Kim

doi:10.1109/MCG.2017.4031066

Full-Body Animation of Human Locomotion in Reduced Gravity Using Physics-Based Control

Yun Hyeong Kim, Taesoo Kwon, Daeun Song, Young J. Kim

Computer Science & Engineering

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The proposed physics-based approach can generate stable and robust full-body animation of various gaits under different gravitational conditions. As input, this method takes motion-captured human motions in the Earth's gravity and builds an inverted-pendulum on cart (IPC) control model, which is analyzed using the motion-captured data. The authors use a pre-estimation model based on the Froude number to predict the desired velocity and stride frequency of a character model in hypogravity and then generate full-body animation using a pendulum trajectory generator, motion planner, and tracking.

Original language	English
Article number	8103322
Pages (from-to)	28-39
Number of pages	12
Journal	IEEE Computer Graphics and Applications
Volume	37
Issue number	6
DOIs	https://doi.org/10.1109/MCG.2017.4031066
State	Published - 1 Nov 2017

Bibliographical note

Funding Information:
This project was supported in part by the National Research Foundation (NRF) of Korea (2015R1A2A1A15055470, 2017R1A2B3012701). Taesoo Kwon was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Korean government (Ministry of Education) (2017R1D1A1B03034889).

Publisher Copyright:
© 2017 IEEE.

Keywords

3D graphics
animation
computational geometry
computer graphics
object modeling
physics-based modeling

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10.1109/MCG.2017.4031066

Cite this

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abstract = "The proposed physics-based approach can generate stable and robust full-body animation of various gaits under different gravitational conditions. As input, this method takes motion-captured human motions in the Earth's gravity and builds an inverted-pendulum on cart (IPC) control model, which is analyzed using the motion-captured data. The authors use a pre-estimation model based on the Froude number to predict the desired velocity and stride frequency of a character model in hypogravity and then generate full-body animation using a pendulum trajectory generator, motion planner, and tracking.",

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Full-Body Animation of Human Locomotion in Reduced Gravity Using Physics-Based Control

Abstract

Bibliographical note

Keywords

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