The classroom of the future will use bio data to track students' attention and will use it as a feedback to improve lecture structure and delivery
What it does
It combines sensors to measure environmental parameters such as noise, temperature or light intensity, with individual Fitbit and Muse headbands to track student's heart rate, movement and attention (via brain activity).
How we built it
Challenges we ran into
Accomplishments that we're proud of
We have managed to connect different sensors to an Arduino 101 and sample it with a Python script We have managed to collect our own Fitbit data with Python
What we learned
What's next for BioFeedback for Immersive Education
Postprocess and correlate signals, come up with an overall measure of attention.