A non-contact health monitoring model based on the Internet of things

The Internet of things uses in various fields, which is of great convenience to people´s lives. Health monitoring can provide users with convenient and reliable health services, which are of low cost. The current health monitoring systems depend on the instruments. Based on the Internet of things, a system called NCHMS is proposed, which is monitoring the health status with no contact. This article elaborates on the structures and functions of NCHMS, improves the expression classification space for health monitoring, and gives a detailed expression recognition algorithm. The experimental data from the simulated experiments can tell that the system have considerable feasibility and practicality.