OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement

By Scott L. Delp, Frank C. Anderson, A. Arnold, P. Loan, Ayman Habib, Chand T. John, Eran Guendelman, Darryl G. Thelen. IEEE Transactions on Biomedical Engineering, 2007

4,709 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/9c9e54726c53a3b16934717edcbd6ae249438c2b

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Citations in the corpus

A Model of the Lower Limb for Analysis of Human Movement (2009, neutral): “11”
A real-time system for biomechanical analysis of human movement and muscle function (2013, methodology): “com; and OpenSim [8]) do not perform real-time analysis.”
A lightweight soft exosuit for gait assistance (2013, methodology): “0 was used to perform the inverse kinematic analysis [29].”
CEINMS: a toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks (2015, neutral): “While optimisation methods are easily accessible (Delp et al., 2007), EMG-driven methods have been developed by different research groups (Amarantini and Martin, 2004; Buchanan et al.”
Muscle contributions to propulsion and support during running (2010, methodology): “To promote the utilization and acceptance of simulations in movement science our simulation is freely available in OpenSim (Delp et al., 2007; simtk.org/home/RunningSim), so others may reproduce our results, perform additional analyses, and gain further insight into running dynamics.”
Muscular strategy shift in human running: dependence of running speed on hip and ankle muscle performance (2012, methodology): “The generic musculoskeletal model described below was implemented in OpenSim (Delp et al., 2007) and is freely available with sample running data obtained from one subject at https://simtk.org/home/runningspeeds.”
OpenSim: a musculoskeletal modeling and simulation framework for in silico investigations and exchange (2011, positive): “…interfaces (APIs) and corresponding libraries, 4) a standardized set of file formats for defining and sharing neuromusculoskeletal models and related data, and 5) a growing set of reusable musculoskeletal models in these formats, developed and published by various researchers [2] [1] [3] [4].”
Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement. (2015, methodology): “Many tracking simulations also apply extra forces or moments 020905-18 / Vol. 137, FEBRUARY 2015 Transactions of the ASME Downloaded From: http://biomechanical.asmedigitalcollection.asme.org/ on 01/25/2015 Terms of Use: http://asme.org/terms (e.g., reserve actuation in OPENSIM terminology [6]) to ac”
EMG-Driven Forward-Dynamic Estimation of Muscle Force and Joint Moment about Multiple Degrees of Freedom in the Human Lower Extremity (2012, positive): “The joint moments that needed to track the IKgenerated angles were obtained using Inverse Dynamics (ID) and Residual Reduction Analysis (RRA) [26].”
Gait Analysis Using Wearable Sensors (2012, methodology): “Visualization of a muscular skeletal system of the lower extremity in gait analysis becomes possible using two excellent software packages, namely, OpenSim and Anybody, separately [149,150].”
Automated Machine Learning: Methods, Systems, Challenges (2019, positive): “Even though some of the most successful methods in the field of AI have been studied and discovered several decades ago [10, 12], it was benchmarks and competitions who were the catalyst for proving these methods in practice.”