Industrial IoT‐Oriented Motion Analysis Based on Binocular Vision and Eye‐Tracking for Sports Scenarios

ABSTRACT This paper introduces an enhanced motion analysis technology and framework specifically designed for sports scenarios in the industrial 5.0 environment. This technology takes advantage of human gaze features and binocular vision, which significantly improves the accuracy and reliability of motion analysis. By using dual cameras, the system can precisely calibrate the gaze direction, achieving more accurate gaze tracking. In addition, this framework conducts a comprehensive analysis of the inherent errors in the binocular gaze tracking algorithm, which achieves more accurate and robust motion detection. The intelligent motion analysis system built based on advanced image recognition technology further consolidates the capabilities of this technology. This system not only provides real‐time, high‐precision motion data but also has outstanding application potential in the industrial Internet of Things (IIoT) environment, as accurate motion understanding is crucial for optimizing human‐machine interaction and improving operational efficiency in such an environment. Moreover, the system's adaptability to dynamic conditions ensures consistent performance across various industrial settings.