IoT-Driven Physical Training and Fitness Management in Colleges

Increased personalized physical training and fitness demand in colleges propel evolution into physical education. These are tailored according to fitness programs, essential in enhancing the students' physical health through better training experiences. It requires an integrated health data analysis to design training for each student-athlete. Therefore, related needs can be addressed with the help of an IOT-driven physical training and fitness management system by MPES-IoT. To date, a revolution in college fitness management has been proposed to meet educational reform. The proposed IoT-based framework systematically monitors physical activity using adaptive technology for data generation. Based on the input from the college learning management system, a neural network algorithm automatically analyzes the best modes of sports training within the university setting; it is tailored in such a way as to make sports development personalized to every student. Now, the Internet of Things has become a strong means that can be accessed anywhere globally and, consequently, is starting to act as a reliable base for different intelligent educational initiatives taken worldwide. The results of the simulations show that the framework is reliable, with a security rating of 93.13%, a performance rating of 95.5%, and a privacy rating of 96.2%, thereby giving an overall reliability rate of 97.3%. Conclusion The IoT-based fitness management system offers an integrated solution to colleges in efforts to advance physical training to promote health in students.