检查颜色对比的影响使用数字人体测量估计身体组成的颜色对比
Michael V Fedewa1, Casey J Metoyer1,2,3, JoonHo Lee1
1The University of Alabama, Tuscaloosa, Alabama, USA.
Journal of biophotonics
|November 2, 2025
概括
由于对比度较低,智能手机的体脂百分比 (%Fat) 估计在较暗的背景下不那么可靠. 这影响了数字健康应用程序的准确性.
科学领域:
- 生物识别信息 生物识别信息
- 数字健康数字健康
- 图像分析 图像分析
背景情况:
- 基于智能手机的应用程序提供了一种方便的方法来估计身体成分.
- 这些工具的准确性可能会受到各种成像参数的影响.
- 背景颜色是影响脂肪度估计图像分析的潜在因素.
研究的目的:
- 使用智能手机图像评估体脂百分比 (%Fat) 测量的可靠性.
- 为了研究不同背景颜色对%Fat估计准确性的影响.
主要方法:
- 参与者 (n=32) 在白色,黑色,绿色,色和灰色背景下被拍摄.
- 在背景和服装颜色之间计算了对比率.
- 线性混合效应建模分析了颜色对比对%Fat估计错误的影响.
主要成果:
- 绿色,色和灰色的背景导致大约1.0%的脂肪常数误差.
- 黑色背景显示出更大的常数误差.
- 无论是人与人之间的颜色对比还是人与人之间的颜色对比都不能解释错误或变化.
结论:
- 较暗的背景颜色可能会增加%Fat测量的估计错误.
- 服装和背景之间的对比度较低可能导致精度降低.
- 优化背景选择对于可靠的基于智能手机的脂肪评估至关重要.
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