Ministry of Public Sports, Jingchu Institute of Technology, Hubei, China.
University of Oviedo, Spain.
Technol Health Care. 2021;29(6):1187-1199. doi: 10.3233/THC-213000.
Physical exercise programs are required to improve students' physical ability, physical fitness, self-responsibility, and satisfaction to remain physically active for a lifetime. The supporting system's demanding characteristics include lack of school leadership support, and lack of communication skills among students is considered an essential factor in the physical education system.
In this paper, an Internet of Things (IoT)-based intelligent physical support framework (IoT-IPSF) has been proposed to encourage education leadership and student social interaction in the physical education system.
Training service analysis is introduced to improve adequate leadership support, helping in the physical education system's growth. Self-determination analysis is integrated with IoT-IPSF to enhance effective communication among school teachers, educational experts, and curriculum officers in the physical education system.
The simulation results show that the proposed method achieves a high accuracy ratio of 98.7%, an efficiency ratio of 95.6, student performance 97.8%, fitness level 82.3%, activity involvement 94.5% compared to other existing models.
体育锻炼计划对于提高学生的身体素质、健康水平、自我责任感和保持终身积极运动的满意度是必要的。支持系统的高要求特点包括缺乏学校领导的支持,以及学生之间缺乏沟通技巧,这些被认为是体育教育系统中的一个重要因素。
本文提出了一种基于物联网(IoT)的智能物理支持框架(IoT-IPSF),以鼓励教育领导和学生在体育教育系统中的社会互动。
引入培训服务分析,以提高充足的领导力支持,促进体育教育系统的发展。将自我决定分析与 IoT-IPSF 相结合,以增强体育教育系统中学校教师、教育专家和课程官员之间的有效沟通。
仿真结果表明,与其他现有模型相比,所提出的方法在准确性、效率、学生表现、健身水平和活动参与度方面分别达到了 98.7%、95.6%、97.8%、82.3%和 94.5%的高比例。