686 Quantification of perception toward skin complexion on sun-exposed vs. sun-protected skin using an artificial neural network
نویسندگان
چکیده
Sun-exposed and sun-protected skin age differently by deviating from ideal state over time, which manifest through changes on complexion. Understanding the perception of such variations is important for cosmetic sociobehavioral research. We developed an objective grading scale using artificial neural network (ANN) to quantify human towards complexion applied in comparing sun-exposed Indian cohort. Total 72 female facial clinical images (age 20-60) acquired via VISIA®-CR were shown pairs (n = 108) 104 naïve panelists, who forced make a choice (left or right) at central location. A zero-sum Bradley Terry (BT) model was pairwise comparison matrix individual image ranking. Siamese trained mimic panel behaviors rate additional that not previously rated. Final ranking 424 obtained minorize-maximization algorithm latent feature namely score (ICS) derived (0-9) characterizing (9 most ideal). Images (cheek, forearm, upper arm dorsal, outer thigh) (upper volar, buttock, inner thigh, lower back) taken twin-flash DSLR camera (n=30) their ICS computed ANN compared among each other against self-surveys. Skin higher younger aged skin, correlation coefficient -0.12 per year increase with R2=0.60 (p < 0.05). For (dorsal) thigh are 2.5%, 2.4% 2.0% 0.05) than cheek respectively, while (volar) highest 4.0% cheek, corroborating self-survey results. However, back, buttock show no statistical difference cheek. The direct photo as input attractive framework quantifying perceptual features.
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ژورنال
عنوان ژورنال: Journal of Investigative Dermatology
سال: 2023
ISSN: ['1523-1747', '0022-202X']
DOI: https://doi.org/10.1016/j.jid.2023.03.694