School of Athletic Performance, Shanghai University of Sport, Shanghai 200438, China.
School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China.
Sensors (Basel). 2024 May 6;24(9):2947. doi: 10.3390/s24092947.
Motion capture technology plays a crucial role in optimizing athletes' skills, techniques, and strategies by providing detailed feedback on motion data. This article presents a comprehensive survey aimed at guiding researchers in selecting the most suitable motion capture technology for sports science investigations. By comparing and analyzing the characters and applications of different motion capture technologies in sports scenarios, it is observed that cinematography motion capture technology remains the gold standard in biomechanical analysis and continues to dominate sports research applications. Wearable sensor-based motion capture technology has gained significant traction in specialized areas such as winter sports, owing to its reliable system performance. Computer vision-based motion capture technology has made significant advancements in recognition accuracy and system reliability, enabling its application in various sports scenarios, from single-person technique analysis to multi-person tactical analysis. Moreover, the emerging field of multimodal motion capture technology, which harmonizes data from various sources with the integration of artificial intelligence, has proven to be a robust research method for complex scenarios. A comprehensive review of the literature from the past 10 years underscores the increasing significance of motion capture technology in sports, with a notable shift from laboratory research to practical training applications on sports fields. Future developments in this field should prioritize research and technological advancements that cater to practical sports scenarios, addressing challenges such as occlusion, outdoor capture, and real-time feedback.
运动捕捉技术在通过运动数据提供详细反馈来优化运动员的技能、技术和策略方面发挥着关键作用。本文旨在为研究人员在体育科学研究中选择最合适的运动捕捉技术提供全面的指导，通过比较和分析不同运动捕捉技术在体育场景中的特点和应用，观察到摄影运动捕捉技术仍然是生物力学分析的黄金标准，并继续主导着体育研究应用。基于可穿戴传感器的运动捕捉技术由于其可靠的系统性能，在冬季运动等专业领域得到了广泛应用。基于计算机视觉的运动捕捉技术在识别精度和系统可靠性方面取得了重大进展，使其能够应用于各种体育场景，从单人技术分析到多人战术分析。此外，新兴的多模态运动捕捉技术领域将来自不同来源的数据与人工智能的整合相结合，为复杂场景提供了一种强大的研究方法。对过去 10 年文献的全面回顾强调了运动捕捉技术在体育领域的重要性日益增加，从实验室研究到体育领域的实际训练应用的转变引人注目。该领域的未来发展应优先考虑针对实际体育场景的研究和技术进步，解决遮挡、户外采集和实时反馈等挑战。
