Automated Force-Velocity Profiling of National Football League Athletes
Name
Wright-mjwright-meng-eecs-2022-thesis.pdf
Description
Thesis PDF
Size
4.87 MB
Format
Adobe PDF
Checksum (MD5)
0cb55df0d3b0bea756c3e6dccd3237ad
Author(s)
Wright, Mark Joseph
Advisor(s)
Hosoi, Anette (Peko)
Date Issued
May 2022
Publisher
Massachusetts Institute of Technology
Abstract
Force-velocity profiles are a well-established approach to generating key parameters of an athlete’s overall fitness profile. They are currently utilized by NFL teams for their players. However, athletes run the risk of injury while testing to create these profiles since they must sprint with a weight attached to them at max speed. As such, teams are not utilizing these profiles as well as they could as they prefer not to jeopardize their athletes.
In this paper, we present a novel approach to generating force-velocity profiling inspired by former work in the MIT Sports Lab to create these profiles directly from tracking data generated by wearable technology sensors. The techniques presented in this paper allow NFL teams to create force-velocity profiles over any time frame of tracking data they have available and allow them to better assess, train, and rehabilitate their players.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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In Copyright - Educational Use Permitted
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