The product
From a €34 wrist sensor to high quality reports the user can act on. Here's how every piece fits together...
How it works
A wrist band samples skin conductance and heart rate every second, discarding motion-corrupted readings on-device before anything leaves the wearer.
A statistical baseline learns what calm looks like for each person, so every later reading is judged against their own norm.
A machine-learning model separates genuine stress from ordinary arousal and reports it as a probability, providing an honest estimate.
The hardware
Built around the XIAO ESP32 C3, the band captures only the signals it can trust, and uses motion to throw out the rest. No claims it can't back up.
From data to care
A personalized baseline and a calibrated classifier translate raw biometrics into stress and wellness states.
A secure, GDPR-compliant mobile dashboard gives each wearer real-time, private feedback that they alone control.
Weekly and Daily reports give users the context to intervene early on their mental health.
Readings are filtered on the device, reports to the users are aggregated. The individuals stay in complete control over their own data.
A multidisciplinary student team turning a hard idea into working hardware, software, and science.