Stress diagnosis through sensor signals of skin conductance

This is the authors' abstract. We don't add key points for this paper.

Stress is a major factor behind many physical and mental health problems, and its early detection is important for timely intervention. This project presents a Stress Diagnosis System using Skin Conductance Signals, built with an Arduino Nano, a Galvanic Skin Response (GSR) sensor, and a display/alert unit. When a person experiences stress, the sympathetic nervous system activates the sweat glands, which changes the electrical conductance of the skin. Two finger electrodes pick up this change, the GSR module converts it into an analog voltage, and the Arduino digitizes and filters the signal to separate the slow tonic level (SCL) from the fast phasic responses (SCR). Features such as the mean conductance level, the number of SCR peaks, and their amplitude are compared with a baseline recorded during rest, and the user’s state is classified as relaxed, moderate, or high stress. The system is compact, low-cost, non-invasive, and suitable for students, working professionals, and wearable health-monitoring applications. This project shows how simple electrodermal sensing can support objective, real-time stress assessment.