Affiliations: [a] Department of Physical Education Teaching, Tianjin University of Commerce, Tianjin, China | [b] Beirut Arab University, Beirut, Lebanon | [c] Wenzhou Kean University, Weizhou, Zhejiang, China
Correspondence:
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Corresponding author: Zhijun Sun, Department of Physical Education Teaching, Tianjin University of Commerce, Tianjin 300134, China. E-mail: [email protected].
Abstract: BACKGROUND: In recent years the Internet of Things (IoT) has become a popular technological culture in the physical education system. Though several technologies have grown in the physical education system domain, IoT plays a significant role due to its optimized health information processing framework for students during workouts. OBJECTIVE: In this paper, an advanced dynamic information processing system (ADIPS) has been proposed with IoT assistance to explore the traditional design architecture for physical activity tracking. METHOD: To track and evaluate human physical activity in day-to-day living, a new paradigm has been integrated with wearable IoT devices for effective information processing during physical workouts. Continuous observation and review of the condition and operations of various students by ADIPS helps to evaluate the sensed information to analyze the health condition of the students. RESULTS: The result of ADIPS has been implemented based on the performance factor correlation with the traditional system.
