Advances in Orthopedics and Sports Medicine
The motivation for this project is the development of quantitative means of assessing human functional movement to be used to inform training protocols, reduce risk of injury, and to enhance performance. The purpose of this article is to describe the methods used in developing such statistical metrics. The full assessment protocol is presented along with a generic full body musculoskeletal model developed in OpenSim. Thirty-nine Division I NCAA student athletes (22 male, 17 female) participated in three rounds of data acquisition sessions. Initial kinematic metrics developed for in-line lunge and deep squat show a range of acceptable values correlating with the ability to perform the assessed movements.
Goehler, Craig M.; Helm, Kelly; Prato, Luis; and Levanda, Anthony, "Presenting a Performance Assessment Protocol and Full Body OpenSim Model for use in Identifying Risk of Injury" (2019). Engineering Faculty Publications & Patents. 118.