Determination of the precision and accuracy of morphological measurements using the Kinect™ sensor: comparison with standard stereophotogrammetry

Determination of the precision and accuracy of morphological measurements using the Kinect™ sensor: comparison with standard stereophotogrammetry
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DOI:
10.1080/00140139.2014.884246
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发表时间:
2014-04-03
期刊:
影响因子:
2.4
通讯作者:
Jan, S. Van Sint
Jan, S. Van Sint
中科院分区:
工程技术3区
文献类型:
--
作者:
Bonnechere, B.;Jansen, B.;Jan, S. Van Sint

文献摘要

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Kinect(TM)传感器是一种低成本的无标记运动捕捉(MMC)系统,其最近的可用性可以为人体工程学提供新的和有趣的见解(例如,形态数据库的创建)。这一系统的广泛验证仍然缺失。该研究的目的是确定Kinect(TM)传感器是否可以作为一种简单,廉价和快速的工具来进行形态估计。使用MMC对共计48例受试者进行了分析。结果进行了比较,从一个高分辨率的立体摄影测量系统,基于标记的系统(MBS)获得的测量。MMC和MBS之间的差异被发现,但是,这些差异系统相关,并使回归方程得到纠正MMC的结果。校正后,最终结果与MBS数据一致(p=0.99)。结果表明,应用回归方程后,测量结果具有重现性和精密度。因此,基于Kinect(TM)传感器的系统似乎适合用作快速和可靠的工具来估计形态。从业者总结:Kinect(TM)传感器最终可以作为人体扫描仪用于快速形态估计。本文提出了一个广泛的验证,该设备的人体测量相比,手动测量和立体摄影测量设备。准确度取决于所研究的片段,但重现性极佳。
The recent availability of the Kinect (TM) sensor, a low-cost Markerless Motion Capture (MMC) system, could give new and interesting insights into ergonomics (e.g. the creation of a morphological database). Extensive validation of this system is still missing. The aim of the study was to determine if the Kinect (TM) sensor can be used as an easy, cheap and fast tool to conduct morphology estimation. A total of 48 subjects were analysed using MMC. Results were compared with measurements obtained from a high-resolution stereophotogrammetric system, a marker-based system (MBS). Differences between MMC and MBS were found; however, these differences were systematically correlated and enabled regression equations to be obtained to correct MMC results. After correction, final results were in agreement with MBS data (p=0.99). Results show that measurements were reproducible and precise after applying regression equations. Kinect (TM) sensors-based systems therefore seem to be suitable for use as fast and reliable tools to estimate morphology. Practitioner Summary: The Kinect (TM) sensor could eventually be used for fast morphology estimation as a body scanner. This paper presents an extensive validation of this device for anthropometric measurements in comparison to manual measurements and stereophotogrammetric devices. The accuracy is dependent on the segment studied but the reproducibility is excellent.