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Internet of things sensors assisted physical activity recognition and health monitoring of college students
Measurement ( IF 5.6 ) Pub Date : 2020-03-23 , DOI: 10.1016/j.measurement.2020.107774
Chun-Li Zhong , Yuan-le Li

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.



中文翻译:

物联网传感器辅助大学生的体育活动识别和健康监测

当前,随着年轻人口的增加,对大学生的共享需求每天都在增加,在健康监测方面的重要性正在日益提高。本文的目的是用来监测大学生的体育活动。在这项研究中,设计并开发了一种安全,节能的学生监控系统,可以在实时试验中提交健康参数。这使医生可以实时监控学生在温度,心跳,压力位置和体温方面的健康参数。在当前系统中,将使用与体育活动识别和监控(PARM)模型链接的各种传感器连续跟踪患者安全,这被认为是智能医疗保健的关键范例。在本文中,物联网(IoT)技术的发展通过针对开放环境的异构,经济高效的可穿戴设备之间的关系扩展了PARM研究。实验分析已基于现代PARM系统进行了验证,该系统可以解决物联网环境对大学生进行有效健康监控带来的新挑战。

更新日期:2020-03-23
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