Using digital anthropometric measurements to estimate body composition

Michael V. Fedewa, Michael R. Esco
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Abstract

Accurate measurements of body composition (Fat and Fat-Free Mass) are critically important in the clinical and sport-performance settings. In clinical settings, it is important that allied-health professionals can measure body composition to determine potential risk of obesity-related health complications, as well as to track progress during pharmacological, dietary, or physical activity programs aimed at fat loss. In sport-performance settings, athletes must measure and track improvements in Fat-Free Mass as it is related to strength and power. However, traditional body composition assessment techniques are expensive, not portable, and require a great deal of technical expertise to administer. However, recently anthropometric measurements of body size and shape have been used to estimate body composition, overcoming many of the barriers experienced with other techniques. The methods and systems described in this invention measure the anatomical dimensions of an individual from a single two-dimensional (2D) digital image. The digital image is taken from the front/anterior view using a mobile, handheld communication device. The linear measurements are used to estimate the body volume of the individual, from which total body density can be calculated from the estimated body volume and body weight. Body composition (Fat Mass and Fat-Free Mass) of the individual is derived from density using known mathematical conversion formulas.
使用数字人体测量来估计身体成分
准确测量身体成分(脂肪和无脂肪质量)在临床和运动表现设置中至关重要。在临床环境中,重要的是联合健康专业人员可以测量身体成分,以确定与肥胖相关的健康并发症的潜在风险,并跟踪旨在减肥的药物,饮食或体育活动计划的进展。在运动表现设置中,运动员必须测量和跟踪无脂肪质量的改善,因为它与力量和力量有关。然而,传统的身体成分评估技术昂贵,不便携,并且需要大量的专业技术来管理。然而,最近人体尺寸和形状的测量已被用于估计身体成分,克服了其他技术所经历的许多障碍。本发明中描述的方法和系统从单个二维(2D)数字图像测量个体的解剖尺寸。使用移动手持通信设备从正面/正面视图拍摄数字图像。线性测量用于估计个体的体体积,从中可以根据估计的体体积和体重计算出总体密度。个体的身体成分(脂肪质量和无脂肪质量)是使用已知的数学转换公式从密度中得出的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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