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As wearable sensors become increasingly capable of collecting high frequency data, the task to manage those incoming streams and structure it in a way that can be queried efficiently becomes paramount for analyzing the data. In this webinar, Shravan Aras of the UArizona's Center for Biomedical Informatics & Biostatistics will cover high frequency sensorkit data coming from Applewatch devices which contains upto 100Hz of accelerometer data and rotational data, amounting to millions of data points per day. We will look at how the raw JSON data is flattened in a structured manner, and stored in Cyverse Data Store (duckdb) to make it readable through our SensorFabric library running from within Cyverse. If you are thinking of incorporating high frequency wearable sensor data into your research, or already have such a study underway, then please join us!
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