Stress diagnosis through sensor signals of skin conductance

The stress diagnosis system using skin conductance signals proves to be a simple, non-invasive, and low-cost solution for objective stress assessment. By combining a GSR sensor with an Arduino Nano, the system measures the physiological response to stress directly instead of relying on self-reporting. The project shows how embedded electronics can support early detection of stress and encourage timely relaxation or medical advice. Although the accuracy is limited by motion artifacts, individual differences, and environmental conditions, its advantages make it practical for students, workplaces, and wearable health-monitoring. In future, the system can be improved by adding heart-rate and temperature sensors and by using machine-learning classification.

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