ABSTRACT
In today's world, there is rapid change in lifestyle, and the workload is also continuously increasing. There is a high need to create a tool that will monitor the physical and mental health of a person during daily life. Continuously monitoring the stress level can help us to better understand our stress patterns and information about our condition. Stress and fatigue level of an individual can be monitored by recording parameters like temperature, heart rate, ECG, and galvanic skin response (GSR) of hand or foot over a period of time. The human nervous system majorly depends on the emotional responses of the person to their dynamic surrounding and news. Therefore, bio-signal recordings will reflect the condition of the physiological behavior and can provide us with very useful information regarding mental stress levels. In this chapter, we have proposed a machine that will help mark attendance of students as well as include a health checkup process by recording health parameters from connected sensors (temperature, heart rate, SPO2) and by capturing front-facing videos. It then takes out features and analyzes the facial emotions to help us detect stress or any signs of depression in the student. Our system will be trained with face images of various emotions. The presence of these features/emotions in the video will be checked and used to help us predict depression in the students.
