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.

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