Making it easy to create large movement datasets will usher in a new era of biomechanics research, powered by artificial intelligence. “It’s very rewarding when people are adopting and using your work and answering research questions you never imagined,” said Antoine Falisse, research engineer and co-first author with Uhlrich and former postdoc Łukasz Kidziński.Įxample of what OpenCap reveals to users, including underlying forces in the musculoskeletal system that result from movement. | Image courtesy of OpenCap Moving to the future Already, thousands of researchers have begun to put OpenCap into practice. “In our study, we collected data from 100 individuals in less than 10 hours – this would have previously taken us a year.”ĭelp’s team showcased OpenCap at various conferences attended by biomedical researchers to enthusiastic reviews. “The average number of patients in a biomechanics study today is just fourteen,” said Uhlrich. Stanford makes this cloud platform freely available for researchers, dramatically expanding who can study movement, where it can be studied, and how large these studies can be. “It would take an expert engineer days to collect and process the biomechanical data that OpenCap provides in minutes,” said Scott Uhlrich, director of research in Stanford’s Human Performance Lab and co-first author of the paper.Īn OpenCap data collection takes 10 minutes, and the processing is automated in the cloud. While cost was a concern, the real bottleneck was the time and expertise required to do these in-lab assessments. In total, OpenCap provides a rich characterization of how humans move – information previously only available in specialized labs with proprietary equipment. “It will even tell you which specific muscles are being activated,” Delp noted. From there, it can calculate important biomechanical data such as joint angles or joint loads. It then uses complex models of the physics and biology of the human musculoskeletal system to determine how the skeleton is moving and what forces are being applied during movement. The tool computes how body landmarks – knees, hips, shoulders, and other joints – move through three-dimensional space. OpenCap combines the latest in computer vision, machine learning, and musculoskeletal simulation to make movement analysis widely available without specialized equipment or expertise. “We hope it can put these once-out-of-reach tools in more hands than ever before.” “OpenCap democratizes human movement analysis,” said Scott Delp, professor of bioengineering and of mechanical engineering and director of the Wu Tsai Human Performance Alliance, the study’s senior author. OpenCap takes just minutes to compute valuable insights about human movement that used to take days using labs costing $150,000 – all at less than 1% of the cost. Its creators hope it will become a turning point in human movement analysis, helping to identify movement patterns that increase an athlete’s risk of injury or to optimize treatments for individuals with mobility-limiting conditions. 19 in PLOS Computational Biology, a team of researchers at Stanford University introduces OpenCap, a powerful open-source motion-capture application that uses video from two calibrated iPhones working in tandem to quantify human motion and the underlying forces in the musculoskeletal system. Though millions across the world might benefit, too often computational motion research is a luxury few patients can afford. Computational musculoskeletal analysis can inform better interventions and improve rehab decisions for patients and athletes, but measuring the dynamics and forces at play in human movement requires a lot of time, equipment, and expertise. The Catalyst for Collaborative Solutionsĭiseases like arthritis and sports injuries can impair the way people move and engage in life.Technology Transfer/Technology Licensing.Hasso Plattner Institute of Design (d.school).Stanford Data Science & Computation Complex.Stanford Engineering Reunion Weekend 2022.Dean’s Graduate Student Advisory Council.Summer Opportunities in Engineering Research and Leadership (Summer First).Graduate school frequently asked questions.Stanford Engineering Research Introductions (SERIS).Stanford Exposure to Research and Graduate Education (SERGE).Summer Undergraduate Research Fellowship (SURF).Additional Calculus for Engineers (ACE).Stanford Summer Engineering Academy (SSEA).About the Equity and Inclusion Initiatives.International Graduate Student Programming Board.
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