基于试纸检测皮肤油脂水平的模型建立  

Modeling of Paper-Based Test for Detecting Skin Sebum Level

作　　者：孙华 熊秋茹 蒋艳雯 金刚 SUN Hua;XIONG Qiuru;JIANG Yanwen;JIN Gang(Shanghai China-norm Quality Technical Service Co.,Ltd.,Shanghai 200071,China)

机构地区：[1]上海复硕正态质量技术服务有限公司,上海200071

出　　处：《香料香精化妆品》2024年第4期187-192,共6页Flavour Fragrance Cosmetics

摘　　要：通过机器学习技术建立了一种简便的皮肤油脂水平测量方法。采用一次性的油脂试纸测量皮肤的出油程度,采集了669张油脂试纸图像,并将实验室Sebumeter~?设备测量的数值作为参照,建立基于油脂试纸图像的分析模型,可以自动化计算油脂试纸测量后的皮脂水平,得到了一种简便的皮肤油脂水平判定方式。研究结果表明,油脂试纸方法测量出的皮脂水平与Sebumeter~?测量出的皮脂水平一致性为0.897,测量结果的一致性高。In this study,a simple method for measuring skin sebum level was established by machine learning technique.A disposable grease test paper was used to measure the sebum level of the skin,and 669 grease test paper images were collected,and the values measured by the laboratory Sebumeter®device were used as a reference to establish an analytical model based on the grease test paper images,which could automate the calculation of the sebum level after the measurement of the grease test paper,and a simple way of determining the sebum level of the skin was obtained.The results of the study showed that the agreement between the sebum level measured by the grease test paper method and the sebum level measured by the Sebumeter®was 0.897,and the consistency of the measurement results was rather high.

关 键 词：试纸 皮肤油脂水平 模型 算法 

分 类 号：TQ658[化学工程—精细化工] TP181[自动化与计算机技术—控制理论与控制工程]