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Achieve a state of the art running power metric that rivals Stryd, but with a difference.

  ~ Open Source.
  ~ Uses off the shelf hardware (Arduino).
  ~ Inexpensive to build.
  ~ Full transparency of how data is collected and calculated.
  ~ Encourage collaboration for the project from the community.
    + Submit bug reports.
    + Make a feature request.
    + Even better, open a pull request!
  ~ Have fun!



  Power based training is very useful for measuring a consistent effort and improving your fitness.

  Power meters for cycling have been around for a while and it is relatively easy to conceive what they do - by measuring the force applied to a bicyle crank (using a strain gauge) and the speed that it moves then we can derive power (Power = Force x Velocity). There are many commercial offerings for cycling power meters or you can build your own if you want.

  Running power is a different kettle of fish though, there's a lot going on so what exactly are we measuring? Things we might need to take into account include:

    ~ Velocity
    ~ Whether we're going up or down a hill
    ~ How firm (or soft) the ground is
    ~ The weight of the runner
    ~ Steps per minute (cadence)
    ~ How high we raise our feet (vertical oscillation)
    ~ Stiffness of muscles and tendons in the leg (Leg Spring Stiffness (LSS)).

  There are a few commercial running power meters, each of which have their own algorithm and approach to measuring running power. Understandably, for a commercial product protecting its intellectual property, the exact algorithm isn't disclosed.

  Commercial Products:
    ~ Stryd - arguably the current state of the art.
    ~ Garmin - when paired with their foot pod.
    ~ Polar - uses smart watch only.
    ~ Runscribe - some details of how they calculate power.

  Werable My Foot aims to be the first Open Source Running Power Meter. The hardware design and software is freely available for anybody to use.



  * Buy the bits - we provide a shopping list of what you need.
  * Put the bits together - following our instructions.
  * Attach it to your shoe - using gratuitous amounts of gorilla tape and cable ties.
  * Download and install our Android Mobile App.
  * Pair the App with the device and start recording.
  * Go for a run and save the data.
  * Export to GPX or CSV.


  For full details of the hardware and code checkout the repo on github.