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SVM-based waist circumference estimation using Kinect

机译:基于SVM的腰围估计使用Kinect

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Background and objective: Conventional anthropometric studies using Kinect depth sensors have concen-trated on estimating the distances between two points such as height. This paper deals with a novel waist measurement method using SVM regression, further widening spectrum of Kinect's potential ap-plications. Waist circumference is a key index for the diagnosis of abdominal obesity, which has been linked to metabolic syndromes and other related diseases. Yet, the existing measuring method, tape mea-sure, requires a trained personnel and is therefore costly and time-consuming.
机译:背景和目的:使用Kinect Depth传感器的常规人体测量研究在估计诸如高度的两点之间的距离上具有凝固。 本文涉及使用SVM回归的新型腰部测量方法,进一步扩展了kinect的潜在血症折叠。 腰围是诊断腹部肥胖的关键指标,与代谢综合征和其他相关疾病有关。 然而,现有的测量方法,磁带MEA确定需要培训的人员,因此昂贵且耗时。

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