Internet of things sensors assisted physical activity recognition and health monitoring of college students

Presently, with the increasing population of young people, demands for sharing are increasing every day for college students on health monitoring is now gaining significance. The purpose of this paper is used to monitor college students in physical activities. In this research, A secure, energy-efficient student surveillance system has been designed and developed which can submit health parameters in real-time trials. This allows physicians in real-time to monitor the health parameters of students on temperature, heartbeat, pressure position and body temperature. In the current system, patient safety will be tracked continuously using various sensors linked to the Physical Activity Recognition and Monitoring (PARM) model which is considered as a key paradigm of intelligent healthcare. In this paper, the development of the Internet of Things (IoT) technology extends PARM studies through the relation of heterogeneous economically-efficient wearable devices for open environments. The experimental analysis has been validated based on the modern PARM systems which can solve the new challenges raised by IoT environments for an effective health monitoring of college students. (C) 2020 Elsevier Ltd. All rights reserved.