An Intelligent Monitoring Method for Multimodal Information of Ski Sports Status Based on Cyber-Physical System

As skiing grows in popularity as a winter recreational activity, existing ski resort services face challenges in ensuring the safety and experience of tourists due to insufficient motion monitoring and real-time feedback. This study proposes an intelligent monitoring system for winter leisure skiing based on cyber-physical systems (CPSs). The system, built on the Internet of Things (IoT), data analytics, and smart sensing technology, addresses the shortcomings of traditional ski resorts in terms of tourist motion monitoring, safety management, and personalized experience provision. The monitoring system developed by the research team is capable of real-time tracking of tourists’ location, speed, and skiing paths, utilizing multisource sensor data to achieve temporal synchronization of tourists’ motion status and preliminary analysis of technical movements. The system integrates heart rate monitoring with personalized load index models and adaptive algorithms to enhance health monitoring and accident prevention. Furthermore, the system employs advanced human posture detection algorithms to provide recommendations and improvement plans for technical movements, thereby enhancing the learning efficiency and experience quality of skiing techniques. The application results show that the heart rate detection algorithm and posture monitoring algorithm can effectively ensure the safety of tourists, providing a good way for ski resort information management and high-quality services.