Sophia Botz, Computer Science student at University College London, has been working with Microsoft and Great Ormond Street Hospital in London on her IXN Project. Sophia has developed a health related Xamarin app which use Movesense sensors, with the Xamarin plugin for Movesense and Azure IoT Hub infrastructure to be analysed by an Azure Machine Learning service.
The project was proposed by Great Ormond Street Hospital in collaboration with Microsoft for her MSc Computer Science at UCL. The aim of the project was to develop a proof of concept for a system that can record motion data and classify this into different movements in order to be used in the monitoring and treatment of movement disabilities.
Sophia developed the mobile application that connects to the Movesense sensors, store session data, and upload these sessions to an Azure DB via Microsoft Azure IoT Hub. The upload then triggers an Azure function app which runs a Azure machine learning experiment to classify the movements into categories such as sitting, standing, walking, running or limping, by looking at time segments of data. The results are then stored in a database and visualised on a website.
Movesense is a re-programmable sensor is highly versatile and accurate, making it suitable for a very large range of applications, and its low price point allows the use with large number of research subjects. A growing set of developer tools, plugins and sample apps help to turn an idea into practice very quickly
With background research, the project lasted around three months but the coding period was about six weeks.
Click above to watch the project video.
Project GitHub page https://github.com/sophisabelle/SensorEvaluationSDK
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