Hierarchical analysis model of human motion

Xiangchen Li; Tianyu Huang; Jihai Sun

doi:10.1007/978-981-10-2672-0_41

Hierarchical analysis model of human motion

Xiangchen Li, Tianyu Huang^*, Jihai Sun

^*Corresponding author for this work

School of Computer Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A joint-based hierarchical analysis model of human motion was proposed to solve the problem of the movement intent and quantitative description in human body postures. In this paper, a statistical observation was made on about 181 h video data to be summarized as 31 basic activities, which are defined by genera and species. A four-level hierarchical model with postureactivity- motion- style was proposed in this paper, which is specified formally by PDM (Point Distribution Models). At the final, the model validations were given by the experiments and applications.

Original language	English
Title of host publication	Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings
Editors	Lin Zhang, Xiao Song, Yunjie Wu
Publisher	Springer Verlag
Pages	396-405
Number of pages	10
ISBN (Print)	9789811026713
DOIs	https://doi.org/10.1007/978-981-10-2672-0_41
Publication status	Published - 2016
Event	16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016 - Beijing, China Duration: 8 Oct 2016 → 11 Oct 2016

Publication series

Name	Communications in Computer and Information Science
Volume	646
ISSN (Print)	1865-0929

Conference

Conference	16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016
Country/Territory	China
City	Beijing
Period	8/10/16 → 11/10/16

Keywords

Hierarchically modeling
Human motion
Joint-based hierarchical analysis models
Point distribution models

Access to Document

10.1007/978-981-10-2672-0_41

Cite this

Li, X., Huang, T., & Sun, J. (2016). Hierarchical analysis model of human motion. In L. Zhang, X. Song, & Y. Wu (Eds.), Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings (pp. 396-405). (Communications in Computer and Information Science; Vol. 646). Springer Verlag. https://doi.org/10.1007/978-981-10-2672-0_41

Li, Xiangchen ; Huang, Tianyu ; Sun, Jihai. / Hierarchical analysis model of human motion. Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings. editor / Lin Zhang ; Xiao Song ; Yunjie Wu. Springer Verlag, 2016. pp. 396-405 (Communications in Computer and Information Science).

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title = "Hierarchical analysis model of human motion",

abstract = "A joint-based hierarchical analysis model of human motion was proposed to solve the problem of the movement intent and quantitative description in human body postures. In this paper, a statistical observation was made on about 181 h video data to be summarized as 31 basic activities, which are defined by genera and species. A four-level hierarchical model with postureactivity- motion- style was proposed in this paper, which is specified formally by PDM (Point Distribution Models). At the final, the model validations were given by the experiments and applications.",

keywords = "Hierarchically modeling, Human motion, Joint-based hierarchical analysis models, Point distribution models",

author = "Xiangchen Li and Tianyu Huang and Jihai Sun",

note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016 ; Conference date: 08-10-2016 Through 11-10-2016",

year = "2016",

doi = "10.1007/978-981-10-2672-0_41",

language = "English",

isbn = "9789811026713",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "396--405",

editor = "Lin Zhang and Xiao Song and Yunjie Wu",

booktitle = "Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings",

address = "Germany",

}

Li, X, Huang, T & Sun, J 2016, Hierarchical analysis model of human motion. in L Zhang, X Song & Y Wu (eds), Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings. Communications in Computer and Information Science, vol. 646, Springer Verlag, pp. 396-405, 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Beijing, China, 8/10/16. https://doi.org/10.1007/978-981-10-2672-0_41

Hierarchical analysis model of human motion. / Li, Xiangchen; Huang, Tianyu; Sun, Jihai.
Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings. ed. / Lin Zhang; Xiao Song; Yunjie Wu. Springer Verlag, 2016. p. 396-405 (Communications in Computer and Information Science; Vol. 646).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Hierarchical analysis model of human motion

AU - Li, Xiangchen

AU - Huang, Tianyu

AU - Sun, Jihai

N1 - Publisher Copyright: © Springer Science+Business Media Singapore 2016.

PY - 2016

Y1 - 2016

N2 - A joint-based hierarchical analysis model of human motion was proposed to solve the problem of the movement intent and quantitative description in human body postures. In this paper, a statistical observation was made on about 181 h video data to be summarized as 31 basic activities, which are defined by genera and species. A four-level hierarchical model with postureactivity- motion- style was proposed in this paper, which is specified formally by PDM (Point Distribution Models). At the final, the model validations were given by the experiments and applications.

AB - A joint-based hierarchical analysis model of human motion was proposed to solve the problem of the movement intent and quantitative description in human body postures. In this paper, a statistical observation was made on about 181 h video data to be summarized as 31 basic activities, which are defined by genera and species. A four-level hierarchical model with postureactivity- motion- style was proposed in this paper, which is specified formally by PDM (Point Distribution Models). At the final, the model validations were given by the experiments and applications.

KW - Hierarchically modeling

KW - Human motion

KW - Joint-based hierarchical analysis models

KW - Point distribution models

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DO - 10.1007/978-981-10-2672-0_41

M3 - Conference contribution

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SN - 9789811026713

T3 - Communications in Computer and Information Science

SP - 396

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BT - Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings

A2 - Zhang, Lin

A2 - Song, Xiao

A2 - Wu, Yunjie

PB - Springer Verlag

T2 - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016

Y2 - 8 October 2016 through 11 October 2016

ER -

Li X, Huang T, Sun J. Hierarchical analysis model of human motion. In Zhang L, Song X, Wu Y, editors, Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings. Springer Verlag. 2016. p. 396-405. (Communications in Computer and Information Science). doi: 10.1007/978-981-10-2672-0_41

Hierarchical analysis model of human motion

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