AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale

Keenon Werling, Janelle Kaneda, Alan Tan, Rishi Agarwal, Six Skov, Tom Van Wouwe, Scott Uhlrich, Nicholas Bianco, Carmichael Ong, Antoine Falisse, Shardul Sapkota, Aidan Chandra, Joshua Carter, Ezio Preatoni, Benjamin Fregly, Jennifer Hicks, Scott Delp, Karen C. Liu

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

Abstract

While reconstructing human poses in 3D from inexpen- sive sensors has advanced significantly in recent years, quantifying the dynamics of human motion, including the muscle-generated joint torques and external forces, remains a challenge. Prior attempts to estimate physics from reconstructed human poses have been hampered by a lack of datasets with high-quality pose and force data for a variety of movements. We present the AddBiomechanics Dataset 1.0, which includes physically accurate human dynamics of 273 human subjects, over 70h of motion and force plate data, totaling more than 24 mil- lion frames. To construct this dataset, novel analytical methods were required, which are also reported here. We propose a benchmark for esti- mating human dynamics from motion using this dataset, and present several baseline results. The AddBiomechanics Dataset is publicly avail- able at addbiomechanics.org/download/ data.html.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science
Subtitle of host publicationComputer Vision – ECCV 2024. 18th European Conference Milan, Italy, September 29–October 4, 2024 Proceedings, Part LXXXVIII
EditorsAles Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol
Place of PublicationSwitzerland
PublisherSpringer Nature Switzerland AG
Pages490-508
ISBN (Electronic)9783031732232
ISBN (Print)9783031732225
DOIs
Publication statusAcceptance date - 3 Jul 2024
EventThe 18th European Conference on Computer Vision ECCV 2024 - Milan, Italy
Duration: 1 Oct 20244 Oct 2024
Conference number: 18
https://eccv.ecva.net/

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)161103349

Conference

ConferenceThe 18th European Conference on Computer Vision ECCV 2024
Abbreviated titleECCV 2024
Country/TerritoryItaly
CityMilan
Period1/10/244/10/24
Internet address

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