Japanese experiment of a complete and objective automatic grading system of facial signs from selfie pictures: Validation with dermatologists and characterization of changes due to age and sun exposures

Self Cite

Background The recent COVID‐19 pandemic has generalized the use of face mask in public area, and it is now common to wear it for long hours. But face mask interfere with cosmetics, and key concerns for tinted products are staining of the mask and degradation on face. Consumers have modified beauty routine by a decrease of makeup, but are now expecting new products adapted to face mask. Little is known about the mechanisms that affect most the makeup under the face mask, so that further studies are needed to develop adequate evaluation methods and products. In this study, the color transfer on mask and makeup degradation on face are assessed through a mixed approach of consumer and instrumental evaluation. Materials and Methods Two tinted face products (A and B) were applied by half face on 11 Japanese women, who conducted real‐life activities with a face mask during 4 hours. Panelists evaluated the stain of their face mask by visual assessment, while the makeup degradation on face was evaluated by color measurement by instrumental method. Results No difference was observed between the two products for lasting on face, but consumer evaluation showed a better resistance of product A for color transfer on mask. Conclusion The mix of instrumental and consumer evaluation is a promising way to evaluate the makeup degradation on face and color transfer on mask, which are two key factors to develop mask resistant makeup products.

Section: Discussionmentioning

confidence: 99%

A preliminary study to understand the effects of mask on tinted face cosmetics

Yokoyama¹,

Udodaira²,

Nicolas³

et al. 2021

Self Cite

“…anti-aging product, since being not entirely clinical neither entirely consumer-oriented. As published earlier, 7,8,[17][18][19] the algorithm developed in the system has proven relevance coupled to a high precision in well-defined selfie's pictures.…”

Section: Ta B L Ementioning

confidence: 94%

“…The present work aimed at determining the possible accordance between consumer's observations and an objective system based on an A.I algorithm that analyzes the severity of some facial signs performed from selfie images. 7,8,[17][18][19] The latter were taken at D 0 and D 28 , following self-applications for 1 month of an anti-aging taken as the benchmark within this Skincare category.…”

Section: Ta B L Ementioning

confidence: 99%

“…As this system performs its analysis from smartphones' selfie pictures, it was found not only reliable (ie rather independent from lighting conditions or angle in the shooting), but its gradings were found highly correlated with the live assessments made by eight dermatologists. [17][18][19] After having determined the capacities of such automatic scoring through different studies of different scales and subjects, 18,19 we decided to expand its use in consumers' tests and clinical protocols destined to gauge the performance of a given product. A new path is, therefore, opened in the recruitment of consumers with regard their ages, U&A's, environment or lifestyles together with their selfie images allowing an objective evaluation validated by dermatologists.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparing the self‐perceived effects of a facial anti‐aging product to those automatically detected from selfie images of Chinese women of different ages and cities

Flament

Maudet

Ye³

et al. 2021

Self Cite

Objective: To assess the agreement, after 1-month application of a popular and efficient anti-aging product, between self-perceived facial signs of aging and those detected and graded by an automatic A.I-based system, using smartphones' selfie images.Material and Methods: Of 1065 Chinese women, aged 18-60 years, from eight different Chinese cities were recruited. They were asked to apply daily, for 1 month, a referential anti-aging product onto their whole face. Selfie images were taken by all subjects at D 0 and D 28 and sent to our facilities for being analyzed through 10 different facial signs. At D 28 , all subjects were asked to fill a questionnaire on the status of their faces, through six general statements. Results:A global agreement between both approaches is reached, particularly among women older than 40 years where the severity of facial signs is already more pronounced or among younger women who present at least facial signs scored above one grading units. This limit becomes, therefore, a prerequisite in the recruitment of Chinese subjects in the case of anti-aging applied studies and possible automatically based on automatic grading system. When respecting such conditions, the positive effects of the product on most facial signs can be demonstrated after 28 days of successive applications. Conclusion:Such methodological approach paves the road in fulfilling the need of consumers of a better transparency in the claims of an anti-aging product.

“…In addition, the individual relationship with sun-exposure (sun-phobic or nonsun phobic) plays a crucial role in the development of facial aging, as shown by clinical studies in various countries such as France, 18 China, 19 and Japan. 20,21 Accordingly, as new approach, the AI-based grading system was applied to differentiate the impacts on facial aging by sun-phobic and nonsun-phobic behaviors on 306 differently aged South Africa women living in Pretoria (25.74 • S, 28.22 • E), using images collection and automatic quantification from selfie pictures. The results of this study are the objects of the present paper.…”

Section: Introductionmentioning

confidence: 99%

Objective and automatic grading system of facial signs from selfie pictures of South African women: Characterization of changes with age and sun‐exposures

Flament

Zhang²,

Jiang³

et al. 2022

Self Cite

Objective To evaluate the capacity of the automatic detection system to accurately grade, from smartphones’ selfie pictures, the severity of fifteen facial signs in South African women and their changes related to age and sun‐exposure habits. Methods A two‐steps approach was conducted based on self‐taken selfie images. At first, to assess on 306 South African women (20–69 years) enrolled in Pretoria area (25.74°S, 28.22°E), age changes on fifteen facial signs measured by an artificial intelligence (AI)‐based automatic grading system previously validated by experts/dermatologists. Second, as these South African panelists were recruited according to their usual behavior toward sun‐exposure, that is, nonsun‐phobic (NSP, N = 151) and sun‐phobic (SP, N = 155) and through their regular and early use of a photo‐protective product, to characterize the facial photo‐damages. Results (1) The automatic scores showed significant changes with age, by decade, of sagging and wrinkles/texture (p < 0.05) after 20 and 30 years, respectively. Pigmentation cluster scores presented no significant changes with age whereas cheek skin pores enlarged at a low extent with two plateaus at thirties and fifties. (2) After 60 years, a significantly increased severity of wrinkles/texture and sagging was observed in NSP versus SP women (p < 0.05). A trend of an increased pigmentation of the eye contour (p = 0.06) was observed after 50 years. Conclusion This work illustrates specific impacts of aging and sun‐exposures on facial signs of South African women, when compared to previous experiments conducted in Europe or East Asia. Results significantly confirm the importance of sun‐avoidance coupled with photo‐protective measures to avoid long‐term skin damages. In inclusive epidemiological studies that aim at investigating large human panels in very different contexts, the AI‐based system offers a fast, affordable and confidential approach in the detection and quantification of facial signs and their dependency with ages, environments, and lifestyles.