Stress Detection in Humans through Artificial Intelligence

Stress has become reason for several illnesses. In addition, chronic stress might involve some psychophysiological conditions. For example, stress increases the possibility of despair, heart attack, and cardiac arrest. smart watches, mobiles, and wristbands have become an essential part of our lives. This elevated the question of whether we can identify and stop stress with mobile phones in addition to wearable sensors. For this, offer a method that benefits in times of need. factors body temperature, respiration rate, blood pressure, and heart rate and -physiological factors such as , , and environmental . A method is defined to five : Normal, Minimum, Intermediate, less-high, and high. deep neural network model for automatic stress recognition. The proposed deep learning method has been trained with 26,000 samples, a 97%. We the performance using Machine Learning containing , Decision Tree, etc. The system results with accuracy of 98%.