Reliability and agreement of Azure Kinect and Kinect v2 depth sensors in the shoulder joint range of motion estimation
Reliability and agreement of Azure Kinect and Kinect v2 depth sensors in the shoulder joint range of motion estimation
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DOI：
10.1016/j.jse.2022.04.007
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发表时间：
2022-09-13
影响因子：
3
通讯作者：
Suzen, Lutfiye Bikem
中科院分区：
文献类型：
--
作者：
Ozsoy, Umut;Yildirim, Yilmaz;Suzen, Lutfiye Bikem
背景资料：基于深度传感器的运动分析系统具有低成本、快速分析能力和便携性，因此，它们的可靠性是感兴趣的问题。我们的研究探讨了协议和可靠性，估计Azure Kinect，微软的国家的最先进的深度传感器，其前身，Kinect V2，通过比较他们与黄金标准的标记为基础的运动analysis system.Methods的基本肩部运动：在我们的研究中，肩关节的运动范围20个健康人进行了分析，在优势侧屈曲，外展和旋转运动。使用组内相关系数（ICC）和Bland-Altman方法评价方法之间的可靠性和一致性。结果：与金标准方法相比，旧一代和新一代Kinect在屈曲（ICC - 0.86 vs. 0.82）和外展（ICC - 0.78 vs. 0.79）运动估计的可靠性方面表现相似。相比之下，新一代传感器在内旋（ICC - 0.49 vs. 0.75）和外旋（ICC - 0.38 vs. 0.67）运动方面表现出更高的可靠性。结论：与前代传感器相比，Kinect Azure凭借其最先进的硬件，在分析较低范围和可变性的运动方面具有更高的可靠性。然而，传感器也应该在多轴运动上进行测试，例如梳理头发，喝水和向后伸手，这些都是模拟日常生活中肢体运动的任务。证据等级：基础科学研究;运动学（c）2022年肩肘外科杂志董事会。All rights reserved.
Background: Depth sensor-based motion analysis systems are of interest to researchers with low cost, fast analysis capabilities, and portability; thus, their reliability is a matter of interest. Our study examined the agreement and reliability in estimating the basic shoulder movements of Azure Kinect, Microsoft's state-of-the-art depth sensor, and its predecessor, Kinect v2, by comparing them with the gold standard marker-based motion analysis system.Methods: In our study, the shoulder joint ranges of motion of 20 healthy individuals were analyzed during dominant-side flexion, abduction, and rotation movements. The reliability and agreement between methods were evaluated using the intraclass correlation co-efficient (ICC) and the Bland-Altman method.Results: Compared to the gold standard method, the old-and new-generation Kinect showed similar performance in terms of reliability in the estimation of flexion (ICC - 0.86 vs. 0.82) and abduction (ICC - 0.78 vs. 0.79) movements, respectively. In contrast, the new -generation sensor showed higher reliability than its predecessor in internal (ICC - 0.49 vs. 0.75) and external rotation (ICC - 0.38 vs. 0.67) movement.Conclusion: Compared to its predecessor, Kinect Azure has higher reliability in analyzing movements in a lower range and variability, thanks to its state-of-the-art hardware. However, the sensor should also be tested on multiaxial movements, such as combing hair, drinking water, and reaching back, which are the tasks that simulate extremity movements in daily life.Level of evidence: Basic Science Study; Kinesiology (c) 2022 Journal of Shoulder and Elbow Surgery Board of Trustees. All rights reserved.