부산대학교 도서관

Technology promotes workplace safety and employee well-being in today's digital and linked environment. Internet of Things (IoT) and cloud computing are used in this work to provide a complete system for injury prevention and human motion analysis in diverse professional environments. The system uses smart ergonomic methods to prevent work-related injuries and musculoskeletal problems. Real-time data from IoT sensors on human mobility, posture, and ambient circumstances allows ergonomic factor analysis. These sensors help avoid injuries by revealing workplace ergonomics and worker behavior. It evaluates how cloud computing stores, processes, and analyzes IoT sensor data. Cloud-based solutions provide real-time data access, remote monitoring, and data-driven decision-making, improving injury prevention and worker well-being. This system shows that smart ergonomics, IoT, and cloud computing may improve workplace safety and productivity. Real-time motion monitoring and analysis help firms decrease accidents, increase worker performance, and improve workplace ergonomics. This comprehensive injury prevention and human motion analysis technique advances worker health and safety in varied sectors.