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Description
User-story: providing embedded testing profiles (by embedded I refer to "squeezing" out maximal manifested performance from series of GPS workouts, particularly in running-based team sports; in other words "testing without testing"). For example, one can create profiles using last 1 month data, or even using rolling windows to demonstrate a potential change in profile parameters over time (these "parameters" are of course estimated using manifested performance, which can be lower than parameters estimated with a maximal test)
These include:
- Acceleration-Velocity (or Force-Velocity) profile (see attached links and my package shorts.net). From this profile, one can squeeze estimated D' and CV, as well as v3min to v6min which can be a proxy measure for MAS (or vVO2max)
- Velocity-Duration profile. This profile provides the maximal acceleration and maximal velocity.
I was thinking of making a similar package myself, but since you already have a framework in place, I think it can be extended to include the Acceleration-Velocity profile (I do think that it already has Velocity-Duration). Let me know what you think.
I have attached a few links with the techniques explained
https://complementarytraining.net/real-time-fatigue-monitoring-using-metabolic-power-and-cpw/
https://complementarytraining.net/analysis-of-metabolic-power-data-using-power-duration-profile-in-team-sports/
http://mathlacome.com/fvp-easy/
http://mathlacome.com/gpsresearch/
https://jbmorin.net/2020/08/02/the-in-situ-sprint-profile-for-team-sports-testing-players-without-testing-them/
https://sportperfsci.com/force-velocity-profiling-with-gps-is-it-reliable/
https://sportperfsci.com/force-velocity-profiling-with-gps-is-it-reliable/