Adlou Bahman, Wilburn Christopher, Weimar Wendi
Sport Biomechanics Lab, School of Kinesiology, Auburn University, 301 Wire Rd, Auburn, AL 36830, USA.
Sensors (Basel). 2025 Jul 13;25(14):4384. doi: 10.3390/s25144384.
Motion capture (MoCap) technologies have transformed athlete monitoring, yet athletic departments face complex decisions when selecting systems for multiple sports. We conducted a narrative review of peer-reviewed studies (2015-2025) examining optical marker-based, inertial measurement unit (IMU) systems, including Global Navigation Satellite System (GNSS)-integrated systems, and markerless computer vision systems. Studies were evaluated for validated accuracy metrics across indoor court, aquatic, and outdoor field environments. Optical systems maintain sub-millimeter accuracy in controlled environments but face field limitations. IMU systems demonstrate an angular accuracy of 2-8° depending on movement complexity. Markerless systems show variable accuracy (sagittal: 3-15°, transverse: 3-57°). Environmental factors substantially impact system performance, with aquatic settings introducing an additional orientation error of 2° versus terrestrial applications. Outdoor environments challenge GNSS-based tracking (±0.3-3 m positional accuracy). Critical gaps include limited gender-specific validation and insufficient long-term reliability data. This review proposes a tiered implementation framework combining foundation-level team monitoring with specialized assessment tools. This evidence-based approach guides the selection of technology aligned with organizational priorities, sport-specific requirements, and resource constraints.
动作捕捉(MoCap)技术已经改变了对运动员的监测,然而体育部门在为多项运动选择系统时面临着复杂的决策。我们对同行评审研究(2015 - 2025年)进行了叙述性综述,这些研究考察了基于光学标记的系统、惯性测量单元(IMU)系统,包括集成了全球导航卫星系统(GNSS)的系统以及无标记计算机视觉系统。对这些研究在室内场地、水上和室外场地环境中的验证精度指标进行了评估。光学系统在受控环境中保持亚毫米级精度,但在场地应用中存在局限性。IMU系统根据运动复杂性显示出2 - 8°的角精度。无标记系统显示出可变精度(矢状面:3 - 15°,横断面:3 - 57°)。环境因素对系统性能有重大影响,与陆地应用相比,水上环境会引入额外2°的方向误差。室外环境对基于GNSS的跟踪提出了挑战(位置精度为±0.3 - 3米)。关键差距包括针对特定性别的验证有限以及长期可靠性数据不足。本综述提出了一个分层实施框架,将基础层面的团队监测与专门的评估工具相结合。这种基于证据的方法指导选择与组织优先事项、特定运动要求和资源限制相匹配的技术。
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