Facial Emotion Recognition System for Mental Stress Detection among University Students

Nowadays, mental stress has become a serious concern, particularly among youngsters and university students. The age previously considered the most relaxed is now surrounded by a lot of stress. Hence, this project aims to develop a Facial Emotion Recognition System for Mental Stress Detection in order to bring advantages to university students and counseling departments of institutions in dealing with mental stress. Facial Emotion Recognition is a field of study that involves the use of technology to identify and interpret human emotions based on facial expressions. It has been used in various applications such as healthcare, human-computer interaction, and security. Stress detection is one of the most important applications of Facial Emotion Recognition, which is beneficial in the early diagnosis and treatment of stress-related disorders. The system uses computer vision and machine learning algorithms to analyses facial features and identify emotions such as happiness, sadness, anger, and fear. The system is designed for mental stress detection, which means it can detect mental stress in individuals through analyzing the user’s facial expressions.