DorsaVi Case Studies Running Shoe ViMove Technology
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Running Shoe ViMove Technology

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Running Shoe ViMove Technology - DorsaVi Industrial IoT Case Study
Infrastructure as a Service (IaaS)

An athlete wanted to find the optimal running shoe that would maximize his running performance and reduce the risk of injury. He was interested in finding out how a shoe’s weight, structure and support affected his ability to achieve an optimal running style. To help him select the right running shoe, ViMove was used.

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Athletes looking to improve running form + attain a healthier running form
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Undisclosed
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Using ViMove’s Running Module, the athlete ran on a treadmill for two minutes in three different types of running shoe. Shoe 1 had a lot of structure and support, Shoe 2 was a neutral shoe and Shoe 3 was a lightweight racing shoe. During his treadmill run the athlete ran at 16 km/h and the data was recorded using ViMove’s Live Training assessment. ViMove wearable sensor technology is able to identify sensitive changes in running symmetry, GRF, IPA, stride frequency and ground contact time during an individual’s run. This is information is crucial for runners who want to improve technique, maximize performance and reduce the risk of injury from running.

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Accuracy, Cycle Times, Frequency, Movement
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[Data Management - Data Analysis]
By analyzing the data from their smart running shoes, runners are able to understand where their form is most effective and efficient, allowing them to improve their form and thus their pace and ability
[Data Management - Data Analysis]
By informing runners of how specifically they run, they make them aware of potential errors which could threaten their health or result in long term physical issues.
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