Motion capture technology plays a critical role in sports science by providing detailed feedback on athletes' movements, aiding in skill optimization, technique refinement, and injury prevention. This survey reviews the latest advancements in motion capture technologies, including cinematography, electromagnetic, and computer vision-based systems, and their applications in sports scenarios. Cinematography remains the gold standard for biomechanical analysis, while wearable sensors and computer vision offer cost-effective and flexible alternatives. Multimodal systems, integrating data from various sources with AI, are emerging as robust solutions for complex sports scenarios. The review highlights the shift from laboratory-based research to practical applications in sports fields, emphasizing the need for technologies that address challenges like occlusion, outdoor capture, and real-time feedback. Key findings include the effectiveness of computer vision in providing high accuracy and speed, the advantages of electromagnetic systems in occlusion resistance, and the potential of multimodal systems for comprehensive data integration. The paper also discusses the importance of specialized datasets and few-shot learning in improving the performance of motion capture systems. Overall, motion capture technology is becoming increasingly vital in sports for enhancing performance, preventing injuries, and supporting training and rehabilitation. Future developments should focus on improving accuracy, adaptability, and integration with emerging technologies like AI to better meet the needs of sports science and training.Motion capture technology plays a critical role in sports science by providing detailed feedback on athletes' movements, aiding in skill optimization, technique refinement, and injury prevention. This survey reviews the latest advancements in motion capture technologies, including cinematography, electromagnetic, and computer vision-based systems, and their applications in sports scenarios. Cinematography remains the gold standard for biomechanical analysis, while wearable sensors and computer vision offer cost-effective and flexible alternatives. Multimodal systems, integrating data from various sources with AI, are emerging as robust solutions for complex sports scenarios. The review highlights the shift from laboratory-based research to practical applications in sports fields, emphasizing the need for technologies that address challenges like occlusion, outdoor capture, and real-time feedback. Key findings include the effectiveness of computer vision in providing high accuracy and speed, the advantages of electromagnetic systems in occlusion resistance, and the potential of multimodal systems for comprehensive data integration. The paper also discusses the importance of specialized datasets and few-shot learning in improving the performance of motion capture systems. Overall, motion capture technology is becoming increasingly vital in sports for enhancing performance, preventing injuries, and supporting training and rehabilitation. Future developments should focus on improving accuracy, adaptability, and integration with emerging technologies like AI to better meet the needs of sports science and training.