Development and Evaluation on The Framework Design of A Continuous Mental Stress Monitor Based on Contactless Sensors and Internet Technology Applications

Abstract

Due to the impact of COVID-19 pandemic, there are quite a few concerns on organizations or companies with the capability in quickly and timely detecting psychological vulnerability level of employees and predicting potential risk behaviors. Regarding the application of daily health monitoring, ordinary camera is used to non-contact capture the shallow blood changes under the face, using algorithm to identify the physiological signs of human body, such as blood oxygen, blood pressure, respiration, and heart rate. With the rapid advancement of Internet technology, it not only assists the corresponding model of physiological signs and psychological symptoms on mapping the change regularities and health score of people’s psychological state at any time, but also utilizes suitable Internet technologies to realize and provide early warning and intervention too. The experimental results of this study show that the constant non-contact detection of human psycho-logical vulnerability level is theoretically feasible and that it can provide practical and effective reference for psychological health assessment. As a result, the scheme of epidemic psychological prevention adopted in this research has the convenience of rapid detection and real-time prediction as well as the scientific of long-time big data tracking and backtracking through the application of Internet technologies, which is a supplement to the traditional psychological detection and prevention.