Article

Example-based control of human motion

Authors:

Jovan PopovićAuthors Info & Claims

SCA '04: Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation

Pages 69 - 77

https://doi.org/10.1145/1028523.1028534

Published: 27 August 2004 Publication History

Abstract

In human motion control applications, the mapping between a control specification and an appropriate target motion often defies an explicit encoding. We present a method that allows such a mapping to be defined by example, given that the control specification is recorded motion. Our method begins by building a database of semantically meaningful instances of the mapping, each of which is represented by synchronized segments of control and target motion. A dynamic programming algorithm can then be used to interpret an input control specification in terms of mapping instances. This interpretation induces a sequence of target segments from the database, which is concatenated to create the appropriate target motion. We evaluate our method on two examples of indirect control. In the first, we synthesize a walking human character that follows a sampled trajectory. In the second, we generate a synthetic partner for a dancer whose motion is acquired through motion capture.

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Cited By

Cohan STevet GReda DPeng Xvan de Panne M(2024)Flexible Motion In-betweening with Diffusion ModelsACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657414(1-9)Online publication date: 13-Jul-2024
https://dl.acm.org/doi/10.1145/3641519.3657414
Kim JKang DLee YKwon T(2022)Real-time Interactive Animation System for Low-Priced Motion Capture SensorsJournal of the Korea Computer Graphics Society10.15701/kcgs.2022.28.2.2928:2(29-41)Online publication date: 1-Jun-2022
https://doi.org/10.15701/kcgs.2022.28.2.29
Rajko J(2022)Geocultural Precarities in Canonizing Computing Research Involving DanceProceedings of the 8th International Conference on Movement and Computing10.1145/3537972.3537988(1-14)Online publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1145/3537972.3537988
Show More Cited By

Index Terms

Example-based control of human motion
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation

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Information

Published In

cover image ACM Conferences

SCA '04: Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation

August 2004

388 pages

ISBN:3905673142

Conference Chairs:
Norman Badler
University of Pennsylvania
,
Mathieu Desbrun
University of Southern California
,
Ronan Boulic,
Dinesh Pai

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
EUROGRAPHICS: The European Association for Computer Graphics

Publisher

Eurographics Association

Goslar, Germany

Publication History

Published: 27 August 2004

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SCA04

Sponsor:

SIGGRAPH
EUROGRAPHICS

SCA04: Symposium on Computer Animation 2004

August 27 - 29, 2004

Grenoble, France

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Overall Acceptance Rate 183 of 487 submissions, 38%

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Cited By

Cohan STevet GReda DPeng Xvan de Panne M(2024)Flexible Motion In-betweening with Diffusion ModelsACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657414(1-9)Online publication date: 13-Jul-2024
https://dl.acm.org/doi/10.1145/3641519.3657414
Kim JKang DLee YKwon T(2022)Real-time Interactive Animation System for Low-Priced Motion Capture SensorsJournal of the Korea Computer Graphics Society10.15701/kcgs.2022.28.2.2928:2(29-41)Online publication date: 1-Jun-2022
https://doi.org/10.15701/kcgs.2022.28.2.29
Rajko J(2022)Geocultural Precarities in Canonizing Computing Research Involving DanceProceedings of the 8th International Conference on Movement and Computing10.1145/3537972.3537988(1-14)Online publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1145/3537972.3537988
Iwamoto NShum HAsahina WMorishima S(2019)Automatic Sign Dance Synthesis from Gesture-based Sign LanguageProceedings of the 12th ACM SIGGRAPH Conference on Motion, Interaction and Games10.1145/3359566.3360069(1-9)Online publication date: 28-Oct-2019
https://dl.acm.org/doi/10.1145/3359566.3360069
Perepichka MHolden DMudur SPopa T(2019)Robust Marker Trajectory Repair for MOCAP using Kinematic ReferenceProceedings of the 12th ACM SIGGRAPH Conference on Motion, Interaction and Games10.1145/3359566.3360060(1-10)Online publication date: 28-Oct-2019
https://dl.acm.org/doi/10.1145/3359566.3360060
Aristidou ACohen‐Or DHodgins JShamir A(2018)Self‐similarity Analysis for Motion Capture CleaningComputer Graphics Forum10.1111/cgf.1336237:2(297-309)Online publication date: 22-May-2018
https://doi.org/10.1111/cgf.13362
Avrachenkov KGoseling JSerbetci B(2017)A Low-Complexity Approach to Distributed Cooperative Caching with Geographic ConstraintsProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/30844651:1(1-25)Online publication date: 13-Jun-2017
https://dl.acm.org/doi/10.1145/3084465
Lee DKhan SSubramanian LGhose SAusavarungnirun RPekhimenko GSeshadri VMutlu O(2017)Design-Induced Latency Variation in Modern DRAM ChipsProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/30844641:1(1-36)Online publication date: 13-Jun-2017
https://dl.acm.org/doi/10.1145/3084464
Etemad SArya A(2016)Expert-Driven Perceptual Features for Modeling Style and Affect in Human MotionIEEE Transactions on Human-Machine Systems10.1109/THMS.2016.253776046:4(534-545)Online publication date: Aug-2016
https://doi.org/10.1109/THMS.2016.2537760
Tsoli AMahmood NBlack M(2014)Breathing life into shapeACM Transactions on Graphics10.1145/2601097.260122533:4(1-11)Online publication date: 27-Jul-2014
https://dl.acm.org/doi/10.1145/2601097.2601225
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