A Human Skin Diagnosis System Using Human Skin Reflective Spectrum Matching

Area of Science:

• Dermatology
• Optical Physics
• Biomedical Engineering

Background:

• The beauty industry requires non-contact, precise skin diagnosis tools.
• Existing methods may lack accuracy or ease of use for personal skin assessment.

Purpose of the Study:

• To develop and validate a non-contact skin diagnosis technique.
• To evaluate personal skin properties using optical reflection spectrum analysis.

Main Methods:

• Proposed a non-contact method employing mechanical matching.
• Utilized the Kubelka-Munk 2-layer model for simulated optical skin reflection spectrum.
• Compared simulated spectra with actually measured skin reflection spectra.

Main Results:

• Spectrum-matched skin information (melanin, hemoglobin, dermis thickness) was obtained.
• Correlation analysis confirmed a strong relationship between matched and measured skin data.
• Statistical significance validated the accuracy of the non-contact method.

Conclusions:

• The proposed non-contact method provides accurate skin diagnosis.
• This technique effectively evaluates key skin parameters like melanin and hemoglobin levels.
• The Kubelka-Munk model integration enhances the reliability of optical skin analysis.