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Sports Activity tools for MSDN Magazine article

This repository is intended for readers of our article on MSDN Magazine, sports and data scientists, working with sensor data from sensors such as the open source Sensor Kit and others. The repository contains:

  • SensorKit SDK, a library we developed which contains many useful functions from Bluetooth connectivity with the sensors, to simple data models for turn and jump detection, as well as connectivity with Microsoft Cosmos DB and Azure cloud containers.

  • R scripts for turn detection and parsing sensor data.

  • Python scripts of calculating G-force and load.

  • Sample data files.

Chart for turn detection

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Open source code and procedures for cleaning, identifying and classifying sports activity to support MSDN article.

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