Article

Analyzing the physical correctness of interpolated human motion

Authors:

Alla Safonova,

Jessica K. HodginsAuthors Info & Claims

SCA '05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation

Pages 171 - 180

https://doi.org/10.1145/1073368.1073392

Published: 29 July 2005 Publication History

Get Access

Abstract

Two human motions can be linearly interpolated to produce a new motion, giving the animator control over the length of a jump, the speed of walking, or the height of a kick. Over the past ten years, this simple technique has been shown to produce surprisingly natural looking results. In this paper we analyze the motions produced by this technique for physical correctness and suggest small modifications to the standard interpolation technique that in some circumstances will produce significantly more natural looking motion.

References

[1]

{ALP04} Abe Y., Liu C. K., Popovićz.: Momentum-based parameterization of dynamic character motion. In Proceedings of the 2004 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (2004), pp. 173--182.

Digital Library

Google Scholar

[2]

{GR96} Guo S., Roberge J.: A high-level control mechanism for human locomotion based on parametric frame space interpolation. In EGCAS '96: Seventh International Workshop on Computer Animation and Simulation (1996).

Digital Library

Google Scholar

[3]

{KB82} Korein J., Badler N.: Techniques for generating the goal-directed motion of articulated structures. IEEE Computer Graphics and Applications (Nov. 1982), 71--81.

Digital Library

Google Scholar

[4]

{KG03} Kovar L., Gleicher M.: Flexible automatic motion blending with registration curves. In 2003 ACM SIGGRAPH / Eurographics Symposium on Computer Animation (Aug., 2003), pp. 214--224.

Digital Library

Google Scholar

[5]

{KG04} Kovar L., Gleicher M.: Automated extraction and parameterization of motions in large data sets. ACM Transactions on Graphics 23, 3 (Aug. 2004), 559--568.

Digital Library

Google Scholar

[6]

{LS99} Lee J., Shin S. Y.: A hierarchical approach to interactive motion editing for human-like figures. In Proc. of SIGGRAPH 99 (Aug. 1999), pp. 39--48.

Digital Library

Google Scholar

[7]

{Per95} Perlin K.: Real time responsive animation with personality. IEEE Transactions on Visualization and Computer Graphics 1, 1 (1995), 5--15.

Digital Library

Google Scholar

[8]

{PSS02} Park S. I., Shin H. J., Shin S. Y.: On-line locomotion generation based on motion blending. In Proceedings of the 2002 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (2002), pp. 105--111.

Digital Library

Google Scholar

[9]

{RCB98} Rose C., Cohen M. F., Bodenheimer B.: Verbs and adverbs: Multidimensional motion interpolation. IEEE Computer Graphics & Applications 18, 5 (Sept. 1998), 32--40.

Digital Library

Google Scholar

[10]

{RP03} Reitsma P., Pollard N.: Perceptual metrics for character animation: Sensitivity to errors in ballistic motion. ACM Transactions on Graphics 22, 3 (Aug. 2003), 537--542.

Digital Library

Google Scholar

[11]

{RSC01} Rose C. F., Sloan P. J., Cohen M. F.: Artist-directed inverse-kinematics using radial basis function interpolation. In Proceedings of Eurographics (2001), vol. 20, pp. 239--250.

Crossref

Google Scholar

[12]

{WB04} Wang J., Bodenheimer B.: Computing the duration of motion transitions: an empirical approach. In Proceedings of the 2004 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (2004), pp. 335--344.

Digital Library

Google Scholar

[13]

{WH97} Wiley D. J., Hahn J. K.: Interpolation synthesis of articulated figure motion. IEEE Computer Graphics Applications 17, 6 (1997), 39--45.

Digital Library

Google Scholar

Cited By

View all

Häfliger A(2024)Motion Matching: Data-Driven Character Animation SystemsEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_511(1184-1192)Online publication date: 5-Jan-2024
https://doi.org/10.1007/978-3-031-23161-2_511
Häfliger A(2023)Motion Matching: Data-Driven Character Animation SystemsEncyclopedia of Computer Graphics and Games10.1007/978-3-319-08234-9_511-1(1-9)Online publication date: 4-Jul-2023
https://doi.org/10.1007/978-3-319-08234-9_511-1
Niay BOlivier AZibrek KPettré JHoyet L(2020)Walk Ratio: Perception of an Invariant Parameter of Human Walk on Virtual CharactersACM Symposium on Applied Perception 202010.1145/3385955.3407926(1-9)Online publication date: 12-Sep-2020
https://dl.acm.org/doi/10.1145/3385955.3407926
Show More Cited By

Index Terms

Analyzing the physical correctness of interpolated human motion
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation

Recommendations

A robust method for analyzing the physical correctness of motion capture data
VRST '06: Proceedings of the ACM symposium on Virtual reality software and technology

The physical correctness of motion capture data is important for human motion analysis and athlete training. However, until now there is little work that wholly explores this problem of analyzing the physical correctness of motion capture data. In this ...
Block-matching translational and rotational motion compensated prediction using interpolated reference frame

Motion compensated prediction (MCP) implemented in most video coding schemes is based on translational motion model. However, nontranslational motions, for example, rotational motions, are common in videos. Higher-order motion model researches try to ...
Human Motion Analysis

Human motion analysis is receiving increasing attention from computer vision researchers. This interest is motivated by a wide spectrum of applications, such as athletic performance analysis, surveillance, man machine interfaces, content-based image ...

Comments

Information & Contributors

Information

Published In

SCA '05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation

July 2005

366 pages

ISBN:1595931988

DOI:10.1145/1073368

Conference Chairs:
Demetri Terzopoulos
New York University, USA
,
Victor Brian Zordan
University of California at Riverside, USA
,
Program Chairs:
Ken Anjyo
OLM Digital, Inc., Japan
,
Petros Faloutsos
University of California at Los Angeles, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 July 2005

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Conference

SCA05

Sponsor:

SIGGRAPH
EUROGRAPHICS

SCA05: Symposium on Computer Animation

July 29 - 31, 2005

California, Los Angeles

Acceptance Rates

Overall Acceptance Rate 183 of 487 submissions, 38%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

49
Total Citations
View Citations
521
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Häfliger A(2024)Motion Matching: Data-Driven Character Animation SystemsEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_511(1184-1192)Online publication date: 5-Jan-2024
https://doi.org/10.1007/978-3-031-23161-2_511
Häfliger A(2023)Motion Matching: Data-Driven Character Animation SystemsEncyclopedia of Computer Graphics and Games10.1007/978-3-319-08234-9_511-1(1-9)Online publication date: 4-Jul-2023
https://doi.org/10.1007/978-3-319-08234-9_511-1
Niay BOlivier AZibrek KPettré JHoyet L(2020)Walk Ratio: Perception of an Invariant Parameter of Human Walk on Virtual CharactersACM Symposium on Applied Perception 202010.1145/3385955.3407926(1-9)Online publication date: 12-Sep-2020
https://dl.acm.org/doi/10.1145/3385955.3407926
Koppensteiner MPrimes GStephan P(2017)Create your own stimulus: Manipulating movements according to social categoriesPLOS ONE10.1371/journal.pone.017442212:3(e0174422)Online publication date: 24-Mar-2017
https://doi.org/10.1371/journal.pone.0174422
Normoyle ALiu FKapadia MBadler NJörg SHoyet LSanders BGeigel JStefanucci J(2013)The effect of posture and dynamics on the perception of emotionProceedings of the ACM Symposium on Applied Perception10.1145/2492494.2492500(91-98)Online publication date: 22-Aug-2013
https://dl.acm.org/doi/10.1145/2492494.2492500
Wang JHan CMa WHu Y(2012)A hierarchical geostatistical model of walking style varietyIEEE 10th International Conference on Industrial Informatics10.1109/INDIN.2012.6300882(452-458)Online publication date: Jul-2012
https://doi.org/10.1109/INDIN.2012.6300882
Gao YChen ZChen MShen Y(2012)An improved approach to the efficient construction of and search operations in motion graphsScience China Information Sciences10.1007/s11432-012-4559-x55:5(1042-1051)Online publication date: 14-Mar-2012
https://doi.org/10.1007/s11432-012-4559-x
Matuszak MMiekisz JSchreiber T(2011)Smooth conditional transition paths in dynamical gaussian networksProceedings of the 34th Annual German conference on Advances in artificial intelligence10.5555/2051037.2051056(204-215)Online publication date: 4-Oct-2011
https://dl.acm.org/doi/10.5555/2051037.2051056
Zhang MLi LPan ZLiu ZJorge JPan ZZhang XAu ODong W(2011)Rhythmic motion synthesis using motion thread networksProceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry10.1145/2087756.2087806(327-334)Online publication date: 11-Dec-2011
https://dl.acm.org/doi/10.1145/2087756.2087806
Mukai TGarland MWang R(2011)Motion rings for interactive gait synthesisSymposium on Interactive 3D Graphics and Games10.1145/1944745.1944767(125-132)Online publication date: 18-Feb-2011
https://dl.acm.org/doi/10.1145/1944745.1944767
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

A robust method for analyzing the physical correctness of motion capture data

Block-matching translational and rotational motion compensated prediction using interpolated reference frame

Human Motion Analysis

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations