Running has always been one of the best ways to exercise. While most of us like to do it casually, professionals such as marathon runners and athletes take it very seriously. It does not matter whether you are an amateur or a professional; if you are doing it wrong this activity can harm your body rather than benefit it. Keeping this in mind a Californian company called Scribe Labs has developed runScribe. runScribe is a lightweight wearable that is mounted on the back of your shoe to monitor the movements of your foot during a run. On the inside, it houses 9-axis kinematic sensor with integrated motion processor to keep a track of the number of steps, speed, stride rate, stride length, ground contact time, foot strike type (heel, mid or fore), swing excursion, stance excursion, impact and braking Gs. runScribe stores the data on the onboard flash memory sends it to your Android or iOS device via Bluetooth Smart. Once the results are on your smartphone or tablet, you can check your run score and find out the areas you can improve on.
Since shoes are most important aspect of running and each shoe behaves differently for every user, runScribe combines your personal running data and shoe statistics to help you choose shoes that are perfectly suited to you and your running style. The firm is planning to source data from every runScribe in the world to create a running kinematic databank that shall help sport researchers determine the exact causes of running related injuries. runScribe will be sold in three variants. Causal runners can opt for the runScribe Starter that has access to limited metrics for $99. If you are interested in unlocking all the 13 kinematic metrics you can upgrade to runScribe Pro for $139. Finally you can get access to the raw sensor data with the runScribe Science Pack that sets you back by $379.The project managed to surpass its project goal of $50,000 on Kickstarter within three days. The company has promised to ship runScribe to early backers by December.
Source: Kickstarter, runScribe via GigaOM
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