MoCaCo: A Simulator Framework for Motion Capture Comparison

Florian Herrmann, Steffen Krüger, Philipp Lensing

Abstract

With human motion capture being used in various research fields and the entertainment industry, suitable systems need to be selected based on individual use cases. In this paper we propose a novel software framework that is capable to simulate, compare, and evaluate any motion capturing system in a purely virtual way. Given an avatar as input character, a user can create an individual tracking setup by simply placing trackers on the avatars skin. The physical behavior of the placed trackers is configurable and extendable to simulate any existing tracking device. Thus it is possible e.g. to add or modify drift, noise, latency, frequency, or any other parameter of the virtual trackers. Additionally it is possible to integrate an individual inverse kinematics (IK) solving system which is steered by the placed trackers. This allows to compare not only different tracker setups, but also different IK solving systems. Finally users can plug-in custom error metrics for comparison of the calculated body poses against ground truth poses. To demonstrate the capabilities of our proposed framework, we present a proof of concept by implementing a simplified simulation model of the HTC vive tracking system to control the VRIK solver from the FinalIK plugin and calculate error metrics for positional, angular, and anatomic differences.

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Paper Citation


in Harvard Style

Herrmann F., Krüger S. and Lensing P. (2021). MoCaCo: A Simulator Framework for Motion Capture Comparison.In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 978-989-758-488-6, pages 193-200. DOI: 10.5220/0010239101930200


in Bibtex Style

@conference{grapp21,
author={Florian Herrmann and Steffen Krüger and Philipp Lensing},
title={MoCaCo: A Simulator Framework for Motion Capture Comparison},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2021},
pages={193-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010239101930200},
isbn={978-989-758-488-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - MoCaCo: A Simulator Framework for Motion Capture Comparison
SN - 978-989-758-488-6
AU - Herrmann F.
AU - Krüger S.
AU - Lensing P.
PY - 2021
SP - 193
EP - 200
DO - 10.5220/0010239101930200