Assessing changes in some facial signs of fatigue in Chinese women, induced by a single working day

Flament, Frédéric; Qiu, Huixia; Abric, Aurelie; Charbonneau, Aude

doi:10.1111/ics.12506

Cited by 11 publications

(24 citation statements)

References 17 publications

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“…For clinical standardized dataset , SD's range 4–17% and 25–50% for ‘selfies’ images dataset, as a result of differences among lighting conditions. As for the sub‐cohort of 70 Caucasian women graded in live conditions by the quorum of experts this ratio ranges 30–60%.…”

Section: Resultsmentioning

confidence: 99%

“…These skin atlases showed that ageing process differently affects women or men to the same extent and that some changes in facial signs were ethnic specific. Apart from affording a precise description of the changes of facial signs with ageing, in both genders of four ethnics, this approach led to determine that some facial signs are more concerned by the fatigue induced by a single day work, in Caucasian or Chinese women .…”

Section: Introductionmentioning

confidence: 99%

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A new procedure, free from human assessment that automatically grades some facial skin structural signs. Comparison with assessments by experts, using referential atlases of skin ageing

Jiang¹,

Kezele²,

Levinshtein³

et al. 2019

Intern J of Cosmetic Sci

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OBJECTIVE: To develop an automatic system that grades the severity of facial signs through 'selfies' pictures taken by women of different ages and ethnics. METHODS: 1140 women from three ethnics (African-American, Asian, Caucasian), of different ages (18-80 years old), took 'selfies' by high resolution smartphones cameras under different conditions of lighting or facial expressions. A dedicated software, was developed, based on a Convolutional Neural Network (CNN) that integrates training data from referential Skin Aging Atlases. The latter allows to an immediate quantification of the severity of nine facial signs according to the ethnicity declared by the subject. These automatic grading were confronted to those assessed by 12 trained experts and dermatologists either on 'selfies' pictures or in live conditions on a smaller cohort of women. RESULTS: The system appears weakly influenced by lighting conditions or facial expressions (coefficients of variations ranging 10-13% for most signs) and leads to global agreements with experts' assessments, even showing a better reproducibility on some facial signs. CONCLUSION: This automatic scoring system, still in development, seems offering a new quantitative approach in the quantified description of facial signs, independent from human vision, in many applications, being individual, cosmetic oriented or dermatological with regard to the follow-up of medical anti-ageing corrective strategies. a des valeurs comparables de celles des experts, voire même de meilleure reproductibilit e dans certains cas. CONCLUSION: Ce syst eme de scorage automatique, encore en d eveloppement, semble offrir une nouvelle approche dans la description quantitative de signes du visage, ind ependante de l'oeil humain, dans de nombreuses applications, comme la personnalisation, a vis ee cosm etique ou dermatologique, dans le suivi de certaines strat egies m edicales de l'antivieillissement cutan e.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new procedure, free from human assessment that automatically grades some facial skin structural signs. Comparison with assessments by experts, using referential atlases of skin ageing

Jiang¹,

Kezele²,

Levinshtein³

et al. 2019

Intern J of Cosmetic Sci

Self Cite

View full text Add to dashboard Cite

show abstract

“…As such, it obviously integrates many factors known to influence (at short or long terms) facial skin signs such as fatigue, worries, mood, sun exposure, regular use of cosmetic products etc. [2][3][4][5]20,21 In this work, privilege was given to perceived ages as the latter own social or psychosocial aspects. [22][23][24][25] In addition, whether one (or more) elevated given sign may lead to an "older" judgment by the naïve panel was an underlying issue.…”

Section: Discussionmentioning

confidence: 99%

Gender‐related differences in the facial aging of Chinese subjects and their relations with perceived ages

Flament

Abric²,

Amar³

2020

Skin Research and Technology

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Facial aging is an ineluctable progressive process along decades. It comprises variable changes on the skin macro relief, that is, folds or wrinkles at different and specific facial sites (forehead, temples, upper lips…), ptosis, pigmentary spots etc the severity of which presents different onsets and that differently aggravates with time. Facial aging not only results from chronological aging, but also integrates the impacts of many other additional factors such as sun exposure (photoaging), lifestyles or aerial pollution. 1-5 As such, facial aging is an individual signature of a highly variable pattern between subjects, making some to be perceived older or younger that their real

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“…), (v) urban pollution, (vi) solar exposures, (vii) lifestyles, (viii) mood, etc. . However, almost all of these quoted papers focused on women, as major consumers of cosmetic products or aesthetical needs.…”

Section: Introductionmentioning

confidence: 99%

A new procedure, free from human assessment, that automatically grades some facial skin signs in men from selfie pictures. Application to changes induced by a severe aerial chronic urban pollution

Zhang¹,

Jiang²,

Kezele³

et al. 2020

Intern J of Cosmetic Sci

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Objective These were two folds: at first, to develop an automatic grading system specifically dedicated to some facial signs of men, similar to the one previously validated on women of different ethnic ancestry and second, to assess its potential in detecting and grading the possible impacts of a severe aerial urban pollution on some facial signs of Chinese men. Methods In both studies, selfie images were obtained from differently aged men. Nine facial signs were automatically graded through a specific A.I‐based algorithm and clinically assessed by a panel of experts and dermatologists. Selfie pictures were taken from individual smartphones of variable optical properties. The first study, designed for developing an automatic grading system, involved three comparable cohorts of men from three different regional ancestries (African, Asian, Caucasian, 110 each) the selfie images of which were acquired under four different lighting conditions. As a second use case study, the facial signs of two cohorts of Chinese men (101 and 100, each), differently aged, regularly exposed to very different aerial urban pollution conditions (UP) were analysed by the same algorithm, selfies being taken under only one lighting condition. Results ‐The new automatic grading system of facial signs suits well to men, showing comparable results than that the one dedicated to women and provides data in close agreement with experts’ assessments. ‐In both cases (expert’s or automatic methodology), the accuracy of the scores appeared ethnic‐dependent. ‐The applied case confirmed previous results obtained clinically, that is, that many facial signs were found of an increased severity among men exposed to a severe urban pollution, as compared to those living in a less polluted city. ‐In both studies, statistical agreements between the automatic grading system and expert’s assessments were reached. In some facial signs, the automatic grading system seems offering a slightly better accuracy than the assessments made by the experts. Conclusion Apart from some minor limitations, this A.I‐based automatic grading system, free from human intervention, performed as well as the one previously developed in women, in close agreement with expert’s assessments. In epidemiological studies, this system offers an easy, fast, affordable and confidential approach in the detection and quantification of male facial signs.

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Assessing changes in some facial signs of fatigue in Chinese women, induced by a single working day

Cited by 11 publications

References 17 publications

A new procedure, free from human assessment that automatically grades some facial skin structural signs. Comparison with assessments by experts, using referential atlases of skin ageing

A new procedure, free from human assessment that automatically grades some facial skin structural signs. Comparison with assessments by experts, using referential atlases of skin ageing

Gender‐related differences in the facial aging of Chinese subjects and their relations with perceived ages

A new procedure, free from human assessment, that automatically grades some facial skin signs in men from selfie pictures. Application to changes induced by a severe aerial chronic urban pollution

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