2026-09-22T00:10:56Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1445052022-08-30T03:02:43Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Hosoi, Anette (Peko)
Wright, Mark Joseph
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2022-08-29T15:52:06Z
2022-08-29T15:52:06Z
2022-05
2022-05-27T16:19:52.403Z
https://hdl.handle.net/1721.1/144505
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.
M.Eng.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright MIT
http://rightsstatements.org/page/InC-EDU/1.0/
Automated Force-Velocity Profiling of National Football League Athletes
Thesis
application/pdf
Master
Master of Engineering in Electrical Engineering and Computer Science
Publication
unknown
unknown
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<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.</Abstract>
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