Smart Technology for Real-time Evaluation of Stress Levels

Abstract

Mental health issues can be adverse to an individual, especially for students who are involved in numerous activities on a daily basis. Students today frequently experience stress. 4 in 5 college students report frequent stress, according to the American Institute of Stress. There are several indications of stress, including sweating, headaches, difficulty concentrating, changes in appetite, reduced immune system, difficulty sleeping, etc. Long-term effects of stress may be chronic. Chronic stress has negative effects on health, including memory loss, hypertension, and it may have negative it's overlooked, cardiovascular disease. If psychological and physical consequences to addiction, that depression, suicide, etc. In order to prevent further effects, it is crucial to identify it early. The proposed system is to design a PCB for the wristband that detects whether the student is experiencing stress or not based on various physiological parameters like heart rate, temperature of the human body, mobility and skin response. Real time data is collected from Electrocardiogram (ECG), Galvanic Skin Response (GSR), Accelerometer sensors etc. An ESP32 microcontroller processes and analyzes the data gathered from various sensors to continuously detect stress.