云计算
培训(气象学)
物联网
康复
互联网
计算机科学
计算机安全
万维网
操作系统
物理疗法
医学
地理
气象学
标识
DOI:10.1142/s0219519425400317
摘要
Sports rehabilitation training is no longer simply a special sports activity. The rehabilitation ability, performance and achievements of professional athletes have not only become the hottest topics in sports competitions at all levels, but also widely regarded as the direct embodiment of the comprehensive strength of a country and a nation. Scientific monitoring of the rehabilitation training process is a powerful guarantee for scientific training and a prerequisite for good sports performance. With the development of information technology, the application fields of the Internet of Things cloud platform are more and more extensive, which can basically cover all aspects of the information technology industry. Through various information collectors, such as Radio Frequency Identification (RFID) and various sensors, it connects ubiquitous items through the network and implements information collection, transmission and processing according to agreed protocols, so as to realize the positioning, identification and tracking of ubiquitous items and finally achieve the purpose of intelligent monitoring and management of items. Starting from the practical application of sports rehabilitation training process design and monitoring, this paper establishes the system design model based on the Internet of Things cloud platform and puts forward the overall design method of the system, which makes the Internet of Things cloud platform effectively used in the sports rehabilitation training remote monitoring system.
科研通智能强力驱动
Strongly Powered by AbleSci AI