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abstract

Volumetric muscle controller

Published: 28 July 2017 Publication History

Abstract

We describe a controller with a fully integrated musculoskeletal model actuated by more than a hundred muscles. Inspired by a QP-based control algorithm, we improved the algorithm to control the volumetric muscles directly. Furthermore, the highly-detailed musculoskeleton was modeled using a non-manifold method and a computation time was effectively reduced through implicit jacobian computation. Our entire system can simulate the musculoskeleton model with detailed volumetric muscles in a feasible computation time.

References

[1]
Sung-Hee Lee, Eftychios Sifakis, and Demetri Terzopoulos. 2009. Comprehensive Biomechanical Modeling and Simulation of the Upper Body. ACM Trans. Graph. (2009).
[2]
Sung-Hee Lee and Demetri Terzopoulos. 2006. Heads Up!: Biomechanical Modeling and Neuromuscular Control of the Neck. ACM Trans. Graph. (2006).
[3]
Yoonsang Lee, Moon Seok Park, Taesoo Kwon, and Jehee Lee. 2014. Locomotion Control for Many-muscle Humanoids. ACM Trans. Graph. (2014).
[4]
Eftychios Sifakis, Igor Neverov, and Ronald Fedkiw. 2005. Automatic Determination of Facial Muscle Activations from Sparse Motion Capture Marker Data. ACM Trans. Graph. (2005).
[5]
Jack M. Wang, Samuel R. Hamner, Scott L. Delp, and Vladlen Koltun. 2012. Optimizing Locomotion Controllers Using Biologically-based Actuators and Objectives. ACM Trns. Graph. (2012).

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Published In

cover image ACM Conferences
SCA '17: Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation
July 2017
212 pages
ISBN:9781450350914
DOI:10.1145/3099564
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 July 2017

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Author Tags

  1. biomechanics
  2. musculoskeletal system

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SCA '17
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Overall Acceptance Rate 183 of 487 submissions, 38%

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