A Review of Machine Learning Approach for Mental Stress Detection

Abstract

Mental stress is a psychological disorder that has an impact on many parts of life, including sleep. People are affected by mental stress on a daily basis due to a variety of circumstances, including social ones. (financial difficulties, family and friendship concerns), the environment (poor weather, traffic, or noise), or scenarios such as giving a presentation in front of a large group or wedding planning. A manageable level of stress is good for a person's health and can encourage them; however, an excessive amount of stress or a strong reaction to stress might be dangerous. As a result, diagnosing and predicting mental stress has become a popular issue in the community. Using machine learning technology, this paper discusses and analyzes various methods for stress detection.