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用于测量下肢跳跃着陆和下蹲运动学的微软Kinect®摄像系统的验证

Validation of the Microsoft Kinect® camera system for measurement of lower extremity jump landing and squatting kinematics.

作者信息

Eltoukhy Moataz, Kelly Adam, Kim Chang-Young, Jun Hyung-Pil, Campbell Richard, Kuenze Christopher

机构信息

a Department of Kinesiology and Sport Sciences , University of Miami , Coral Gables , FL , USA.

b Department of Kinesiology , Michigan State University , East Lansing, MI , USA.

出版信息

Sports Biomech. 2016;15(1):89-102. doi: 10.1080/14763141.2015.1123766. Epub 2016 Feb 2.

DOI:10.1080/14763141.2015.1123766
PMID:26835547
Abstract

Cost effective, quantifiable assessment of lower extremity movement represents potential improvement over standard tools for evaluation of injury risk. Ten healthy participants completed three trials of a drop jump, overhead squat, and single leg squat task. Peak hip and knee kinematics were assessed using an 8 camera BTS Smart 7000DX motion analysis system and the Microsoft Kinect® camera system. The agreement and consistency between both uncorrected and correct Kinect kinematic variables and the BTS camera system were assessed using interclass correlations coefficients. Peak sagittal plane kinematics measured using the Microsoft Kinect® camera system explained a significant amount of variance [Range(hip) = 43.5-62.8%; Range(knee) = 67.5-89.6%] in peak kinematics measured using the BTS camera system. Across tasks, peak knee flexion angle and peak hip flexion were found to be consistent and in agreement when the Microsoft Kinect® camera system was directly compared to the BTS camera system but these values were improved following application of a corrective factor. The Microsoft Kinect® may not be an appropriate surrogate for traditional motion analysis technology, but it may have potential applications as a real-time feedback tool in pathological or high injury risk populations.

摘要

与评估损伤风险的标准工具相比,对下肢运动进行具有成本效益的、可量化的评估代表了一种潜在的改进。十名健康参与者完成了三次下蹲跳、过头深蹲和单腿深蹲任务的试验。使用8台摄像机的BTS Smart 7000DX运动分析系统和微软Kinect®摄像机系统评估了髋部和膝部的峰值运动学。使用组内相关系数评估了未校正和校正后的Kinect运动学变量与BTS摄像机系统之间的一致性和相关性。使用微软Kinect®摄像机系统测量的矢状面峰值运动学解释了使用BTS摄像机系统测量的峰值运动学中很大一部分方差[范围(髋部)=43.5-62.8%;范围(膝部)=67.5-89.6%]。在各项任务中,当将微软Kinect®摄像机系统与BTS摄像机系统直接比较时,发现峰值屈膝角度和峰值髋部屈曲是一致的,但在应用校正因子后,这些值有所改善。微软Kinect®可能不是传统运动分析技术的合适替代物,但它可能作为病理或高损伤风险人群的实时反馈工具具有潜在应用。

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