Stress Detection and Management: Unveiling the Power of Machine Learning Algorithms

Abstract

It is believed that stress is the most significant factor in an individual's existence. According to the World Health Organization, stress is a mental health issue that impacts its inhabitants. Stress is a big issue in the modern world and can seriously harm a person's physical, mental, and emotional well-being. Machine learning techniques are being widely used to develop innovative stress management and reduction strategies nowadays. Long-term stress or high levels of stress affect our safety and disrupt our normal lives. Early detection of psychological stress can prevent many stress-related health problems. Stress levels can be determined by utilizing bio-signals such as thermal, electrical, impedance, acoustic, optical, etc., which exhibit noticeable changes when an individual experiences stress. In this research paper, we look at how machine learning algorithms can be used to help us better understand stress, detect stress early, and create personalized stress management interventions.