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基于 Kinect v2 深度相机数据的人体人体测量参数估计系统。

System for Estimation of Human Anthropometric Parameters Based on Data from Kinect v2 Depth Camera.

机构信息

Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, 35-959 Rzeszów, Poland.

Institute of Physical Culture Sciences, Medical College of Rzeszów University, 35-959 Rzeszów, Poland.

出版信息

Sensors (Basel). 2023 Mar 25;23(7):3459. doi: 10.3390/s23073459.

Abstract

Anthropometric measurements of the human body are an important problem that affects many aspects of human life. However, anthropometric measurement often requires the application of an appropriate measurement procedure and the use of specialized, sometimes expensive measurement tools. Sometimes the measurement procedure is complicated, time-consuming, and requires properly trained personnel. This study aimed to develop a system for estimating human anthropometric parameters based on a three-dimensional scan of the complete body made with an inexpensive depth camera in the form of the Kinect v2 sensor. The research included 129 men aged 18 to 28. The developed system consists of a rotating platform, a depth sensor (Kinect v2), and a PC computer that was used to record 3D data, and to estimate individual anthropometric parameters. Experimental studies have shown that the precision of the proposed system for a significant part of the parameters is satisfactory. The largest error was found in the waist circumference parameter. The results obtained confirm that this method can be used in anthropometric measurements.

摘要

人体测量学参数是一个重要的问题,它影响着人类生活的许多方面。然而,人体测量通常需要应用适当的测量程序,并使用专门的、有时昂贵的测量工具。有时,测量程序复杂、耗时,并且需要经过适当培训的人员。本研究旨在开发一种基于使用 Kinect v2 传感器等廉价深度相机对完整人体进行三维扫描的系统,用于估算人体人体测量参数。该研究包括 129 名年龄在 18 至 28 岁的男性。所开发的系统由一个旋转平台、一个深度传感器(Kinect v2)和一台 PC 计算机组成,该计算机用于记录 3D 数据,并估算个体人体测量参数。实验研究表明,所提出系统对于大部分参数的精度是令人满意的。在腰围参数中发现了最大的误差。所获得的结果证实,该方法可用于人体测量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85f8/10098791/63f345d17e80/sensors-23-03459-g001.jpg

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Estimating body segment parameters from three-dimensional human body scans.从三维人体扫描中估计人体部位参数。
PLoS One. 2022 Jan 5;17(1):e0262296. doi: 10.1371/journal.pone.0262296. eCollection 2022.

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