The Research on Video Analysis of Key Motion Positions Based on Deep Learning Technology

This paper innovatively explores sports video key posture detection through deep learning, showcasing its transformative applications in sports analysis. It pioneers model optimization strategies for heightened accuracy and real-time performance. Leveraging Convolutional Neural Networks (CNNs) and Full Convolutional Neural Networks (FCNs), the study introduces a novel deep learning architecture that adeptly captures athletes' gestures. Future prospects encompass innovative advancements like cross-project posture analysis and personalized training recommendations, setting a new standard in athlete injury prevention and performance optimization.