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用于提高运动表现和评估损伤风险的动作捕捉技术:多运动项目组织综述

Motion Capture Technologies for Athletic Performance Enhancement and Injury Risk Assessment: A Review for Multi-Sport Organizations.

作者信息

Adlou Bahman, Wilburn Christopher, Weimar Wendi

机构信息

Sport Biomechanics Lab, School of Kinesiology, Auburn University, 301 Wire Rd, Auburn, AL 36830, USA.

出版信息

Sensors (Basel). 2025 Jul 13;25(14):4384. doi: 10.3390/s25144384.


DOI:10.3390/s25144384
PMID:40732512
Abstract

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.

摘要

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。

相似文献

[1]
Motion Capture Technologies for Athletic Performance Enhancement and Injury Risk Assessment: A Review for Multi-Sport Organizations.

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[2]
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本文引用的文献

[1]
Gender-Based Differences in Biomechanical Walking Patterns of Athletes Using Inertial Sensors.

J Funct Morphol Kinesiol. 2025-2-27

[2]
Reliability of artificial intelligence-driven markerless motion capture in gait analyses of healthy adults.

PLoS One. 2025-1-22

[3]
The Validity and Usability of Markerless Motion Capture and Inertial Measurement Units for Quantifying Dynamic Movements.

Med Sci Sports Exerc. 2025-3-1

[4]
Validation of Automated Countermovement Vertical Jump Analysis: Markerless Pose Estimation vs. 3D Marker-Based Motion Capture System.

Sensors (Basel). 2024-10-14

[5]
The Influence of Kinematics on Tennis Serve Speed: An In-Depth Analysis Using Xsens MVN Biomech Link Technology.

Bioengineering (Basel). 2024-9-27

[6]
Current practices in physical fitness assessment and monitoring among coaches of individual and team sports: a survey in Portugal, Spain, and Romania.

Biol Sport. 2024-10

[7]
Accessibility of Motion Capture as a Tool for Sports Performance Enhancement for Beginner and Intermediate Cricket Players.

Sensors (Basel). 2024-5-24

[8]
Motion Capture Technology in Sports Scenarios: A Survey.

Sensors (Basel). 2024-5-6

[9]
Reliability of Xsens IMU-Based Lower Extremity Joint Angles during In-Field Running.

Sensors (Basel). 2024-1-29

[10]
OpenCap: Human movement dynamics from smartphone videos.

PLoS Comput Biol. 2023-10

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