AI Training - Will it work?

[Nate_Pearson]

@splash

There are problems with TR that ML could likely help with fairly easily. For example, it could predict who over-, or under-tests with the ramp test, and then swap the test out in your training plan or adjust the FTP result to create a better match.

This already happens with the progression system. Except instead of changing your FTP it puts you in a different point in your progression.

@splash

It could also probably find out what type of workout progression usually works best to achieve a specific goal (eg raise FTP or vo2max), depending on your past training history or the type of rider you are. It could likely create types of riders and identify them.

This is happening in our internal system with FTP predictions. I suspect we’ll run future models to optimize certain levels in specific workout zones. This will automatically take into account repeatability which is awesome.

@splash

The main problem with all computer approaches is that the data to feed the model has to be good. The other issue is communication - did you stop the ramp test, because you couldn’t go on anymore, or because your child just burst into the room? How does the computer know?

This is what the survey data post-workout is for. If you stop early we get to know why you stopped. This is also why we can’t have the system tell if you’re overtraining at the moment because we can’t tell why you stopped a workout.