Affiliations: [a] College of Physical Education and Health, East China Normal University, Shanghai, China | [b] Department of Computer Science and Engineering, Adhiyamaan College of Engineering, India | [c] V.R.S. College of Engineering and Technology, India
Correspondence:
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Corresponding author: Yacheng Zhu, College of Physical Education and Health, East China Normal University, Shanghai 200241, China, E-mail: [email protected].
Abstract: BACKGROUND: Physical health is vital to the improvement of our skills and the enhancement of eye movements. The coordination of good body movement helps to establish a safe position of the body. The challenging characteristics of physical education include insufficient time allocation, inadequately trained teachers, and inadequate provision of the equipment is considered as an important factor. OBJECTIVE: In this paper, IoT-based Computational Narrowband Physical Health Framework (IoT-CNPHF) has been proposed to strengthen adequate time allocation, appropriately qualified teachers, and sustainable provision in the physical education system. METHOD: Massive extended range analysis is introduced to enhance the duration and time allotted for physical activity that helps in creating awareness about the importance of physical activities and sports in our daily life. The multimodal supervised technique is incorporated with IoT-CNPHF to improve the knowledge of physical education for the teachers and to provide suitable provision for students in the physical education system. RESULTS: The simulation analysis is performed based on accuracy, performance, and its efficiency proves the reliability of the proposed framework.
