This article provides a comprehensive survey of motion capture technology in sports scenarios, highlighting its role in optimizing athletes' skills, techniques, and strategies through detailed motion data feedback. The study compares and analyzes various motion capture technologies, including cinematography, electromagnetic, and computer vision-based systems, to determine their suitability for different sports applications. Cinematography capture remains the gold standard for biomechanical analysis, while wearable sensor-based systems have gained traction in specialized areas like winter sports. Computer vision-based systems have advanced significantly in recognition accuracy and reliability, enabling applications from single-person technique analysis to multi-person tactical analysis. Multimodal motion capture, integrating data from various sources with AI, is emerging as a robust method for complex scenarios. The review emphasizes the growing significance of motion capture in sports, shifting from laboratory research to practical training applications. Future developments should focus on technologies that address challenges such as occlusion, outdoor capture, and real-time feedback. The article also discusses the application of motion capture in sports, including athlete performance dataset construction, real-time training assistance, and multi-camera motion capture technology. It concludes with a discussion on the factors influencing motion capture in sports, such as environmental conditions, system setup, motion characteristics, and data processing. The study provides a comparative analysis of different motion capture technologies, highlighting their strengths and limitations, and offers a normalized evaluation framework for selecting the most suitable technology for specific sports applications.This article provides a comprehensive survey of motion capture technology in sports scenarios, highlighting its role in optimizing athletes' skills, techniques, and strategies through detailed motion data feedback. The study compares and analyzes various motion capture technologies, including cinematography, electromagnetic, and computer vision-based systems, to determine their suitability for different sports applications. Cinematography capture remains the gold standard for biomechanical analysis, while wearable sensor-based systems have gained traction in specialized areas like winter sports. Computer vision-based systems have advanced significantly in recognition accuracy and reliability, enabling applications from single-person technique analysis to multi-person tactical analysis. Multimodal motion capture, integrating data from various sources with AI, is emerging as a robust method for complex scenarios. The review emphasizes the growing significance of motion capture in sports, shifting from laboratory research to practical training applications. Future developments should focus on technologies that address challenges such as occlusion, outdoor capture, and real-time feedback. The article also discusses the application of motion capture in sports, including athlete performance dataset construction, real-time training assistance, and multi-camera motion capture technology. It concludes with a discussion on the factors influencing motion capture in sports, such as environmental conditions, system setup, motion characteristics, and data processing. The study provides a comparative analysis of different motion capture technologies, highlighting their strengths and limitations, and offers a normalized evaluation framework for selecting the most suitable technology for specific sports applications.