Synthesis of human motion using Kalman filter

Chang Whan Sul; Soon Ki Jung; Kwangyun Wohn

doi:10.1007/3-540-49384-0_8

Synthesis of human motion using Kalman filter

Chang Whan Sul, Soon Ki Jung, Kwangyun Wohn

Korea Advanced Institute of Science and Technology

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

11 Scopus citations

Abstract

This paper is concerned with the post-processing of motion-captured data. The post-processing is needed for several reasons: jerky motions due to sensor noise, violation of body constraints such as extraneous joint D.O.Fs, generation of new motion by editing existing motion data, and application of a motion to different character models. In this paper, the process of generating animated motion is viewed as a dynamic system, which takes the captured motion as input. Within a single Kalman filter framework, we were able to handle the following problems effectively: satisfaction of physical constraints inherent to human body, user-specified kinematic constraints, motion transition, and noise reduction.

Original language	English
Title of host publication	Modelling and Motion Capture Techniques for Virtual Environments - International Workshop, CAPTECH 1998, Proceedings
Editors	Nadia Magnenat-Thalmann, Daniel Thalmann
Publisher	Springer Verlag
Pages	100-112
Number of pages	13
ISBN (Print)	3540653538, 9783540653530
DOIs	https://doi.org/10.1007/3-540-49384-0_8
State	Published - 1998
Event	International Workshop on Modelling and Motion Capture Techniques for Virtual Environments, CAPTECH 1998 - Geneva, Switzerland Duration: 26 Nov 1998 → 27 Nov 1998

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1537
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Workshop on Modelling and Motion Capture Techniques for Virtual Environments, CAPTECH 1998
Country/Territory	Switzerland
City	Geneva
Period	26/11/98 → 27/11/98

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10.1007/3-540-49384-0_8

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Sul, C. W., Jung, S. K., & Wohn, K. (1998). Synthesis of human motion using Kalman filter. In N. Magnenat-Thalmann, & D. Thalmann (Eds.), Modelling and Motion Capture Techniques for Virtual Environments - International Workshop, CAPTECH 1998, Proceedings (pp. 100-112). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1537). Springer Verlag. https://doi.org/10.1007/3-540-49384-0_8

Sul, Chang Whan ; Jung, Soon Ki ; Wohn, Kwangyun. / Synthesis of human motion using Kalman filter. Modelling and Motion Capture Techniques for Virtual Environments - International Workshop, CAPTECH 1998, Proceedings. editor / Nadia Magnenat-Thalmann ; Daniel Thalmann. Springer Verlag, 1998. pp. 100-112 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Sul, {Chang Whan} and Jung, {Soon Ki} and Kwangyun Wohn",

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Sul, CW, Jung, SK & Wohn, K 1998, Synthesis of human motion using Kalman filter. in N Magnenat-Thalmann & D Thalmann (eds), Modelling and Motion Capture Techniques for Virtual Environments - International Workshop, CAPTECH 1998, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1537, Springer Verlag, pp. 100-112, International Workshop on Modelling and Motion Capture Techniques for Virtual Environments, CAPTECH 1998, Geneva, Switzerland, 26/11/98. https://doi.org/10.1007/3-540-49384-0_8

Synthesis of human motion using Kalman filter. / Sul, Chang Whan; Jung, Soon Ki; Wohn, Kwangyun.
Modelling and Motion Capture Techniques for Virtual Environments - International Workshop, CAPTECH 1998, Proceedings. ed. / Nadia Magnenat-Thalmann; Daniel Thalmann. Springer Verlag, 1998. p. 100-112 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1537).

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

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AB - This paper is concerned with the post-processing of motion-captured data. The post-processing is needed for several reasons: jerky motions due to sensor noise, violation of body constraints such as extraneous joint D.O.Fs, generation of new motion by editing existing motion data, and application of a motion to different character models. In this paper, the process of generating animated motion is viewed as a dynamic system, which takes the captured motion as input. Within a single Kalman filter framework, we were able to handle the following problems effectively: satisfaction of physical constraints inherent to human body, user-specified kinematic constraints, motion transition, and noise reduction.

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Sul CW, Jung SK, Wohn K. Synthesis of human motion using Kalman filter. In Magnenat-Thalmann N, Thalmann D, editors, Modelling and Motion Capture Techniques for Virtual Environments - International Workshop, CAPTECH 1998, Proceedings. Springer Verlag. 1998. p. 100-112. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-49384-0_8

Synthesis of human motion using Kalman filter

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