Portable Stress Level Detector based on Galvanic Skin Response, Heart Rate, and Body Temperature

Abstract

A portable device was designed and developed that measures stress level based from physiological signals gathered from a person. The device uses three physiological signals, the galvanic skin response (GSR), heart rate (HR), and body temperature (BT). The system uses a microcomputer to fetch and process the data, and to compute the stress level using the applied machine learning algorithm. From the results, it was verified that the system provides accurate measurements of the physiological signals with an average percent difference of 0.68338% and 0.19327% for HR and BT respectively.