Co-hacking the future of healthcare - ML to train a smartphone to detect stress

• What we'll do
Access a dataset consisting of sensor data from participants from around the world, found in the Sensie teams folder. Sources of data include the gyroscope telemetry. There will then be a short presentation from the Sensie app team providing an overview of their technology and how they have been able to detect stress using sensor data from a smartphone. There will then be a brief overview of Azure ML platform & models that can be applied to the Sensie dataset to help increase detection accuracy. We will then break into groups, or split off individually and compete to see who can come up with the best prediction model for the Sensie data set.

For more on Sensie see: www.sensieapp.com

• What to bring
computer and brains

• Important to know
Due to the nature of event, everyone in attendance will be expected to sign an NDA