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RunScribe

34 bytes added, 16:11, 4 July 2016
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[[File:RunScribe.jpg|right|thumb|500px|An overview of the data from RunScribe]]
RunScribe is a [[Running Sensors| Running Sensor]] that uses small [[Footpod]]s to measure aspects of your [[Running Form]]. It can allow you to find biomechanical problems like imbalances, determine how your running changes with [[Cadence]], different [[Shoes]], or intentional changes. I highly recommend RunScribe to any runner.
=How It Works=
You put a Footpod on each shoe, either attaching it to the laces like any other footpod. You can also clip them to the heels of your shoes or glue them in place. Then go for a run, and on your return upload the data to a smartphone app via Bluetooth. The analysis of your run is then available via the app or on their web site. (You can purchase a single Footpod, but I'd recommend getting two.)
* Multiple runners can share a RunScribe, rather than it being artificially crippled to only work with one person.
* RunScribe uses small watch batteries, so they last for many hours. (RunScribe also sell rechargeable versions of the batteries.)
* For what it does, I'd say that RunScribe is great value. It's only $239 from [http://www.runscribe.com/ http://www.runscribe.com/]which is less than the price of a couple of pairs of shoes.
=RunScribe Cons=
There are a few limitations to RunScribe to be aware of.
* The Footpods don't have an explicit start/stop, so I put them in my pocket while walking too/from my run.
* You need a Smartphone to use RunScribe.
* There's (currently) no easy export of the underlying data for you do to your own analysis. You can use URLs like [https://dashboard.runscribe.com/runs/31438/metric/stance_excursion_fs_mp https://dashboard.runscribe.com/runs/31438/metric/stance_excursion_fs_mp]to access the raw data in JSON format. (I've hacked together some ugly code to access this data. Email me if you'd like a copy.)
=Examples=
The graphs below are from a [[Lactate Threshold]] test used to evaluate the [[BSX]] sensor. The test has 3 minute stages of 20:00, 8:34, 8:13, 7:54, 7:30, 7:04, 6:40, 6:23, 6:04. You can display as many values as you like, but it gets cluttered so I'm only displaying three metrics from a single foot for clarity. This run is particularly interesting as I was fatigued and [[Glycogen]] depleted so it's more likely to show up problems.

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