The digital twin framework of skin reflectance spectrum for visual perception

This research develops a digital twin framework for the skin reflectance spectrum, integrating hyper-elastic mechanics with the Kubelka-Munk model. By examining key physiological factors—such as skin thickness, melanin content, blood volume fraction, oxygen saturation, and moisture content—we investigate their dynamic interactions and impact on visual perception. Using hyperspectral imaging, we analyze how these factors influence the skin's reflectance under varying conditions. Notably, we explore the phenomenon of enhanced skin brightness following hydration, linking increased epidermal thickness to improved reflectance in the visible spectrum. This study aims to advance biophotonics applications in dermatology and plastic surgery, providing insights for non-invasive health monitoring and aesthetic enhancement.