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将Azure Kinect与Kinect V2的垂直跳跃跟踪性能进行比较

Patrik Abdelnour¹, Kevin Y Zhao^1,2, Athanasios Babouras³

¹Faculty of Medicine and Health Sciences, McGill University, 3605 Rue de la Montagne, Montreal, QC H3G 2M1, Canada.

Sensors (Basel, Switzerland)

|June 27, 2024

概括

Azure Kinect显示与Kinect V2在垂直跳跃 (DVJ) 期间评估膝盖角度的差异不大,这表明它.

科学领域:

生物力学和运动医学
运动分析技术运动分析技术

背景情况:

传统的运动分析对于广泛的前十字带 (ACL) 损伤风险查是不切实际的.
Kinect V2提供了一个便携式解决方案,但已经被Azure Kinect所取代.
在动态运动中评估膝盖生物力学,例如垂直跳跃 (DVJ),对于识别ACL受伤风险至关重要.

研究的目的:

为了评估Azure Kinect在DVJ期间评估关键膝盖角度的准确性,与Kinect V2.2相比.
为了确定Azure Kinect是否是可靠的Kinect V2的继承者,用于ACL伤害风险查.

主要方法:

69名参与者进行了DVJ,同时通过Azure Kinect和Kinect V2系统进行了记录.
软件分析了动力学数据,以提取初始的冠状,峰值冠状和峰值斜腰膝盖角度.
类内相关系数 (ICC) 用于评估两个运动捕捉系统之间的一致性.

主要成果:

在Azure Kinect和Kinect V2之间发现了初始和峰值冠状膝盖角度的差异一致 (ICC 0.135-0.446).
在两种系统之间,观察到高峰斜腰膝盖角的中等一致性 (ICC 0.608-0.655).
尽管具有优异的连续角度跟踪,但Azure Kinect无法可靠地复制Kinect V2测量用于DVJ分析.

结论:

目前,Azure Kinect并不是Kinect V2的可靠替代品,用于评估DVJ期间特定的膝盖角度的ACL受伤风险.
需要进一步的研究和替代的运动分析系统来准确和可访问的ACL损伤风险查.
这些发现强调了在运动伤害预防中临床采用之前系统验证的重要性.

关键词:

在ACL受伤.伤害预防伤害预防动力学是动力学.运动分析分析运动分析.

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