The Conference for Machine Learning Innovation

How We Used Machine Learning to Detect Stress among our Berlin Colleagues

Session
Join the ML Revolution!
Until Conference starts:
✓Special discount for Freelancers
✓10% Team Discount
Register Now
Join the ML Revolution!
Until Conference starts:
✓Special discount for Freelancers
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Infos
Tuesday, December 10 2019
16:00 - 16:45
Room:
Salon 8+9

As long as mankind exists, diseases are also a constant companion, stress often is a cause or at least a co-trigger. In the age of permanent connectivity and IoT, not only our phones and cars are getting smart. Also, the health sector is transforming a lot and gets more and more digital. People now have started to measure their vital systems with smart watches and chest straps and thereby produce plenty of data which can be analysed. This leads to complete new ways of diagnosing diseases and even their causes. Thus, I am going to show you how we used machine learning to implement a model capable of detecting stress in physiological data gathered with the use of a commodity chest strap. Beside that I am going to show you how we put that model in use by detecting stress among our colleagues from Berlin.

Behind the Tracks