Computer modeling and simulation of human movement.

By Marcus G. Pandy. Annual Review of Biomedical Engineering, 2001

515 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/389c55887ffe29f659107135318e0146a2ee9524

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Citations in the corpus

Model-based estimation of muscle forces exerted during movements. (2007, methodology): “Current movement prediction algorithms are extremely computer-intensive (Anderson and Pandy, 2001a,b) which necessitates parallel computing (Neptune, 1999; Anderson et al., 1995; van Soest and Casius, 2003; Koh et al., 2004).”
Muscular strategy shift in human running: dependence of running speed on hip and ankle muscle performance (2012, methodology): “Detailed musculoskeletal models of the body have been used to quantify the function of individual muscles in various tasks, including walking, running and jumping (Delp et al., 2007; Erdemir et al., 2007; Heintz and Gutierrez-Farewik, 2007; Pandy, 2001; Pandy and Andriacchi, 2010; Pandy et al., 2010”
Motion capture assisted animation: texturing and synthesis (2002, background): “3) and in computer modelling [35], there have been many quantitative studies of human motion for the purposes of treatment and prevention of injuries [2].”
OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement (2007, background): “Although the value of dynamic simulations of movement is broadly recognized [2-8], the field is fragmented.”
Analysis of musculoskeletal systems in the AnyBody Modeling System (2006, background): “[1,2,17] show applications of forward dynamics and a review can be found in [19].”
Evidence for the Flexible Sensorimotor Strategies Predicted by Optimal Feedback Control (2007, background): “…Copyright © 2007 Society for Neuroscience 0270-6474/07/279354-15$15.00/0 mogeneous cost could be energy consumption (Nelson, 1983; Anderson and Pandy, 2001), derivative of hand acceleration (Flash and Hogan, 1985), derivative of joint torque (Uno et al., 1989), endpoint variance (Harris and…”
Morphological muscle and joint parameters for musculoskeletal modelling of the lower extremity. (2005, background): “Most models reviewed by Pandy (2001) and Zajac (1989) are simple 2D models that can be used to gain insight in the principles of control of movement and the role of its components.”