Code pt. 1 (in C++):
Code pt. 2 (in Java via Processing IDE):
Sample live feed (through Processing):
A Novel Multimodal Physiological Monitoring System for Virtual Reality-Based Addiction Therapy
Ben Choi, Dr. Nathalia Peixoto
Code pt. 1 (in C++):
Code pt. 2 (in Java via Processing IDE):
Sample live feed (through Processing):
Live feed snapshot: time on x-axis, GSR in micro-Siemens (μS) on y-axis
Code (in C++):
BPM Stream:
Code (in C++):
Below are results from three brainwave feeds (excitement, relaxation, and interest) captured using the Emotiv EPOC+ headset and Emotiv BCI software:
ADS1929R ECG/Respiration shield for Arduino
ADS1929R shield-compatible ECG and respiratory rate sensors
Arduino-compatible galvanic skin response sensor (Grove)
Arduino-compatible heart rate monitor (Tragoods)
Arduino microcontroller board (ATmega2560)
EEG headband (Emotiv EPOC+)
Standard breadboards/jumper cables