ikosmidis
commented
3 years ago Thanks @mladenjovanovic for the detailed description. I will take a close look to see whether such a feature is implementable within trackeR frameworks, though it make take a couple of weeks before I focus on this (term started :) at uni). Cheers -I
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:
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/