AddBiomechanics: Automating model scaling, inverse kinematics, and inverse dynamics from human motion data through sequential optimization

• Published in: PloS one Vol. 18; no. 11; p. e0295152
• Main Authors: Werling, Keenon, Bianco, Nicholas A., Raitor, Michael, Stingel, Jon, Hicks, Jennifer L., Collins, Steven H., Delp, Scott L., Liu, C. Karen
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 30.11.2023; Public Library of Science (PLoS)
• Subjects: Analysis; Automation; Biology and Life Sciences; Biomechanical Phenomena; Biomechanics; Computer and Information Sciences; Engineering and Technology; Evaluation; Forecasts and trends; Humans; Kinematics; Mechanization; Medicine and Health Sciences; Models, Biological; Motion; Musculoskeletal System; Physical Sciences; Science Policy; Walking; United States

Creating large-scale public datasets of human motion biomechanics could unlock data-driven breakthroughs in our understanding of human motion, neuromuscular diseases, and assistive devices. However, the manual effort currently required to process motion capture data and quantify the kinematics and d...