Application of Internet of Things Framework in Physical Education System

被引:5
|
作者
Hu, Lixun [1 ,2 ]
Liu, Caili [2 ]
Cengiz, Korhan [3 ,5 ]
Nallappan, Gunasekaran [4 ]
机构
[1] Shaanxi Univ Chinese Med, Xian, Shaanxi, Peoples R China
[2] Xian Int Univ, Xian, Shaanxi, Peoples R China
[3] Trakya Univ, Dept Elect Elect Engn, Edirne, Turkey
[4] Toyoto Technol Inst, Dept Adv Sci & Technol, Nagoya, Aichi, Japan
[5] Univ Fujairah, Coll Informat Technol, Fujairah, U Arab Emirates
来源
JOURNAL OF INTERNET TECHNOLOGY | 2021年 / 22卷 / 06期
关键词
Physical education; F-score; Recognition; Accelerometer; IoT; Cloud; DECISION-MAKING;
D O I
10.53106/160792642021112206017
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, students engage in physical activities to promote physical, mental, and psychological benefits globally. Many schools employ the physical education system as an integral part of their curriculum to develop their students. This paper presents the main benefits of the physical education system. Further, the pillars of physical education in the modern education system are also analyzed. The usage of the Internet of Things (IoT) framework in the physical education system is also being presented in this research. We also propose a new framework called the IoT-based Physical Activity Recognition (IPAR) model. In this model, physical action recognition is done using data from a single tri-axial accelerometer. The recognized action and medical parameters like accelerometer, oxygen level, pulse rate, and temperature are transferred through the cloud to the physical activity instructor's mobile phone. The proposed physical action recognition model produces an overall accuracy of 95.82%. Further, the overall F-score attained by the proposed IPAR algorithm is 97.83%. Moreover, the overall time complexity of the proposed IPAR algorithm was as low as 53.96ms.
引用
收藏
页码:1409 / 1418
页数:10
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