The development of skin image analysis device based on embedded system

Abstract

Skin appearance is a key determinant of perceived age. Medical studies have verified the importance of skin care, stating that functional anti-aging products can defer skin aging. However, the effects of these products are largely self-perceived by users. These self-perceptions are difficult to quantify. The most common equipment for measuring skin quality is the dielectric analyzer, while fine lines and luster are largely measured visually with a color chart. However, the data produced by dielectric analyzers are not directly associated with skin appearance, and visual measurements contain considerable bias. Therefore, in this paper, a digital image processing method was developed for skin analysis; wherein an embedded system was used to develop a device for measuring luster and fine lines. Users can use this device to extract, analyze and compute skin images, and compare the differences in skin quality before and after using skin care products. The skin area affected by high ankle strains was selected as the target of analysis. The research outcomes are presented in the “Experiment” chapter.