Physiological Computing

“Physiological Computing is a term that is used to describe any technological system that incorporates physiological data from humans into its functionality or displays these data at the interface.” – by Dr Stephen Fairclough

In RaF Lab, we teach students to make simple physiological measuring devices with Arduino, and to map the signals in real time to animations or sound.

RAF Students’ Projects

led by Prof. Jelena Mladenović
by Miljan Ilić

Making professional ECG with Arduino

Using Arduino MEGA, ECG sensor AD8232 …

by Srdjan Lazić

Making sound with breathing and heart-rate

Using smartwatch (Polar Verity Sense), breathing belt (Ullo Alize), openViBE 3.3 and VCV-Rack 1

by Andrijana Prica

Animating heart-rate

Using VVVV (gamma), smartwatch (Polar Varity Sense) and bleak Python (BLE to LSL)

by Stevan Zečić

Polygraph (EDA, breathing and Heart-rate)

Using Arduino UNO, potentiometers, piezzo sensors etc.

by Lav Leon Hudak

Animating heart-rate

Using Smartwatch (bleak Python to convert BLE to LSL) and VVVV (gamma)