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 Bakir Hamidovic
Creating EDA sensor from scratch
Designing and building a custom EDA (Electrodermal Activity) PCB from zero using KiCad to shield Adafruit nrf52832
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)