Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

OpenCap: 3D human movement dynamics from smartphone videos

Scott D. Uhlrich, Antoine Falisse, Łukasz Kidziński, Julie Muccini, Michael Ko, Akshay S. Chaudhari, Jennifer L. Hicks, Scott L. Delp
doi: https://doi.org/10.1101/2022.07.07.499061
Scott D. Uhlrich
1Departments of Bioengineering, Stanford University Stanford, CA 94305
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: suhlrich@stanford.edu afalisse@stanford.edu
Antoine Falisse
1Departments of Bioengineering, Stanford University Stanford, CA 94305
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: suhlrich@stanford.edu afalisse@stanford.edu
Łukasz Kidziński
1Departments of Bioengineering, Stanford University Stanford, CA 94305
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Julie Muccini
2Departments of Radiology, Stanford University Stanford, CA 94305
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael Ko
2Departments of Radiology, Stanford University Stanford, CA 94305
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Akshay S. Chaudhari
2Departments of Radiology, Stanford University Stanford, CA 94305
3Departments of Biomedical Data Science, Stanford University Stanford, CA 94305
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jennifer L. Hicks
1Departments of Bioengineering, Stanford University Stanford, CA 94305
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Scott L. Delp
1Departments of Bioengineering, Stanford University Stanford, CA 94305
4Departments of Mechanical Engineering, Stanford University Stanford, CA 94305
5Departments of Orthopaedic Surgery, Stanford University Stanford, CA 94305
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Abstract

Measures of human movement dynamics can predict outcomes like injury risk or musculoskeletal disease progression. However, these measures are rarely quantified in clinical practice due to the prohibitive cost, time, and expertise required. Here we present and validate OpenCap, an open-source platform for computing movement dynamics using videos captured from smartphones. OpenCap’s web application enables users to collect synchronous videos and visualize movement data that is automatically processed in the cloud, thereby eliminating the need for specialized hardware, software, and expertise. We show that OpenCap accurately predicts dynamic measures, like muscle activations, joint loads, and joint moments, which can be used to screen for disease risk, evaluate intervention efficacy, assess between-group movement differences, and inform rehabilitation decisions. Additionally, we demonstrate OpenCap’s practical utility through a 100-subject field study, where a clinician using OpenCap estimated movement dynamics 25 times faster than a laboratory-based approach at less than 1% of the cost. By democratizing access to human movement analysis, OpenCap can accelerate the incorporation of biomechanical metrics into large-scale research studies, clinical trials, and clinical practice.

Competing Interest Statement

Stanford University has filed for a patent related to the work, titled "OpenCap: open-source software for estimating the kinematics and kinetics of human movement from smartphone videos" on behalf of A.F., S.D.U., Ł.K., J.L.H, and S.L.D. These authors have no other competing interests. J.M., M.K., and A.S.C. have no competing interests.

Footnotes

  • https://simtk.org/projects/opencap

  • https://opencap.ai

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Back to top
PreviousNext
Posted July 10, 2022.
Download PDF

Supplementary Material

Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
OpenCap: 3D human movement dynamics from smartphone videos
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
OpenCap: 3D human movement dynamics from smartphone videos
Scott D. Uhlrich, Antoine Falisse, Łukasz Kidziński, Julie Muccini, Michael Ko, Akshay S. Chaudhari, Jennifer L. Hicks, Scott L. Delp
bioRxiv 2022.07.07.499061; doi: https://doi.org/10.1101/2022.07.07.499061
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
OpenCap: 3D human movement dynamics from smartphone videos
Scott D. Uhlrich, Antoine Falisse, Łukasz Kidziński, Julie Muccini, Michael Ko, Akshay S. Chaudhari, Jennifer L. Hicks, Scott L. Delp
bioRxiv 2022.07.07.499061; doi: https://doi.org/10.1101/2022.07.07.499061

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioengineering
Subject Areas
All Articles
  • Animal Behavior and Cognition (4657)
  • Biochemistry (10309)
  • Bioengineering (7629)
  • Bioinformatics (26217)
  • Biophysics (13462)
  • Cancer Biology (10637)
  • Cell Biology (15354)
  • Clinical Trials (138)
  • Developmental Biology (8461)
  • Ecology (12766)
  • Epidemiology (2067)
  • Evolutionary Biology (16781)
  • Genetics (11368)
  • Genomics (15416)
  • Immunology (10562)
  • Microbiology (25064)
  • Molecular Biology (10165)
  • Neuroscience (54203)
  • Paleontology (398)
  • Pathology (1658)
  • Pharmacology and Toxicology (2878)
  • Physiology (4319)
  • Plant Biology (9206)
  • Scientific Communication and Education (1582)
  • Synthetic Biology (2543)
  • Systems Biology (6759)
  • Zoology (1454)