Internet of things-based intelligent physical support framework using future internet of things

Area of Science:

• Sports Science
• Educational Technology
• Internet of Things

Background:

• Physical education programs are crucial for lifelong physical activity, but face challenges like inadequate leadership support and poor student communication.
• These systemic issues hinder the development of students' physical abilities, fitness, and self-responsibility.

Purpose of the Study:

• To propose an Internet of Things (IoT)-based intelligent physical support framework (IoT-IPSF).
• To enhance educational leadership support and foster social interaction among students within physical education.
• To address communication gaps among teachers, experts, and curriculum officers.

Main Methods:

• Implemented training service analysis to bolster leadership support for physical education.
• Integrated self-determination analysis with the IoT-IPSF to improve communication channels.
• Utilized IoT-IPSF for enhanced interaction between students, teachers, and educational administrators.

Main Results:

• The proposed IoT-IPSF achieved high accuracy (98.7%) and efficiency (95.6%).
• Demonstrated significant improvements in student performance (97.8%) and activity involvement (94.5%).
• Showcased a notable increase in student fitness levels (82.3%) compared to existing models.

Conclusions:

• The IoT-IPSF effectively supports physical education by improving leadership and communication.
• This framework positively impacts student engagement, performance, and overall fitness.
• IoT integration offers a promising solution for modernizing physical education systems.