Facial Skin Color Research Articles

Facial skin color assessment and proposed skin shade guide for maxillofacial prosthesis using cluster analysis in a cohort of Indian adults

Aim: The precise estimation and replication of skin color are crucial for maxillofacial prosthesis. The study aimed to evaluate facial skin color with a colorimeter and suggest a skin shade guide and formula for color estimation. Settings and Design: An observational study conducted in the department of prosthodontics. Materials and Methods: Study was conducted on 368 individuals of Indian origin in age range of 20–45 years. The facial skin color was assessed in malar regions using SkinColorCatch colorimetric device and individual topography angle (ITA) and CIELAB L*a*b* values were noted. Statistical Analysis Used: K-means clustering was utilized to propose a shade guide for maxillofacial prosthesis with 24 skin shades. Logistic regression analysis was conducted to propose a formula to estimate skin shade of the individuals. Results: Based on cluster analysis, 368 subjects were divided into three clusters with similar characteristic as Cluster 1 with dark skin color in 88 (23.91%) subjects, Cluster 2 with medium skin color in 224 (60.87%) subjects, and Cluster 3 with light skin color in 56 (15.22%) subjects. The mean ITA and L*a*b* values for cluster 1 were −47.04° ±14.77°, 34.53 ± 4.31, 8.55 ± 2, 11.42 ± 3.7033, respectively. The mean ITA angle and L*a*b* values for Cluster 2 were 4.29° ±11.34° 51.67 ± 3.42, 8.79 ± 3.13, 21.36 ± 2.38, respectively. The mean ITA and L*a*b* values for Cluster 3 were 34.65 ± 4.29°, 62.66 ± 3.08, 6.53 ± 1.79, 17.73 ± 2.39, respectively. The proposed shade guide comprised a total of 24 different shades that were categorized into three primary colors according to three distinct clusters, each of which was further broken down into eight subclusters containing various shades within each cluster. Logistic regression analysis gave an equation as follows: Y =12.43 + 0.186X (Y = Predicted skin color, X = ITA angle). Conclusions: Twenty-four facial skin shade tabs have been proposed based on ITA angle and CIELAB values. This comprehensive approach to categorize the shades will ensure a detailed and organized system for selecting and matching colors in maxillofacial prosthesis.

Pilot Clinical Safety and Efficacy Evaluation of a Topical 3% Tranexamic Acid Cream and Serum Protocol for Managing Facial Hyperpigmentation in Caucasian Patients

Facial hyperpigmentation is a highly prevalent dermatological condition, characterized by dark spots on the skin resulting from excess melanin production. Hyperpigmentation significantly impacts patients’ quality of life and self-esteem. Current treatments often present disadvantages linked to poor product tolerability. A topical cosmetic approach combining three lightening active ingredients (tranexamic acid, niacinamide, vitamin C) offers a new option for treating dark spots on the skin. The present in-use test under dermatological control evaluated the clinical safety and efficacy of a cream and serum containing these three ingredients, formulated with hyaluronic acid for enhanced delivery, stability, and efficacy. A total of 22 Caucasian patients with facial hyperpigmentation, both male and female, aged between 45 and 67 years, applied the cream and serum for 8 weeks. Clinical assessments, colorimetric evaluations, standardized photography, and self-assessment questionnaires were used to measure outcomes. No serious adverse effects were recorded, and the incidence of local adverse effects was low, highlighting good tolerability of the investigated test items. In most participants, significant improvements in hyperpigmented areas were recorded. Clinical scoring by the dermatologist investigator indicated a statistically significant 13% reduction in color intensity and a 6% reduction in the size of dark spots after 8 weeks of treatment. Colorimetric evaluation showed a statistically significant 1% increase in luminosity (L* parameter) and an 8% improvement in the Individual Typological Angle (ITA°) in endpoint, indicating lighter skin spots. Subjective assessments reflected high user satisfaction, with 95% of participants noting improvements in skin hydration and luminosity, and 77% reporting a reduced appearance of dark spots. Overall, the present work supports the use of tranexamic acid, niacinamide, and vitamin C as an effective and well-tolerated combined topical management option for hyperpigmentation. This combination offers a viable alternative to classical whiteners for individuals seeking to reduce facial skin coloration imbalance and improve skin tone.

The impact of air pollution on the facial skin of Caucasian women using real-life pollutant exposure measurements.

To date, studies examining the effect of air pollution on skin characteristics have relied on regional pollution estimates obtained from fixed monitoring sites. Hence, there remains a need to characterize the impact of air pollution in vivo in real-time conditions. We conducted an initial investigation under real-life conditions, with the purpose of characterizing the in vivo impact of various pollutants on the facial skin condition of women living in Paris over a 6-month period. A smartphone application linked to the Breezometer platform was used to collect participants' individual exposures to pollutants through the recovery of global positioning system (GPS) data over a 6-month period. Daily exposure to fine particulate matter (PM 2.5µm and PM 10µm), pollen, and air quality was measured. Facial skin color, roughness, pore, hydration, elasticity, and wrinkle measurements were taken at the end of the 6-month period. Participants' cumulated pollutant exposure over 6 months was calculated. Data were stratified into two groups (lower vs. higher pollutant exposure) for each pollutant. 156 women (20-60 years-old) were recruited, with 124 women completing the study. Higher PM 2.5µm exposure was associated with altered skin color and increased roughness under the eye. Higher PM 10µm exposure with increased wrinkles and roughness under the eye, increased pore appearance, and decreased skin hydration. Exposure to poorer air quality was linked with increased forehead wrinkles and decreased skin elasticity, while higher pollen exposure increased skin roughness and crow's feet. This study suggests a potential correlation between air pollution and facial skin in real-life conditions. Prolonged exposure to PM, gases, and pollen may be linked to clinical signs of skin ageing. This study highlights the importance of longer monitoring over time in real conditions to characterize the effect of pollution on the skin.

Facial appearance associates with longitudinal multi-organ failure: an ICU cohort study

BackgroundFacial appearance, whether consciously or subconsciously assessed, may affect clinical assessment and treatment strategies in the Intensive Care Unit (ICU). Nevertheless, the association between objective clinical measurement of facial appearance and multi-organ failure is currently unknown. The objective of this study was to examine whether facial appearance at admission is associated with longitudinal evaluation of multi-organ failure.MethodsThis was a sub-study of the Simple Intensive Care Studies-II, a prospective observational cohort study. All adult patients acutely admitted to the ICU between March 26, 2019, and July 10, 2019, were included. Facial appearance was assessed within three hours of ICU admission using predefined pictograms. The SOFA score was serially measured each day for the first seven days after ICU admission. The association between the extent of eye-opening and facial skin colour with longitudinal Sequential Organ Failure Assessment (SOFA) scores was investigated using generalized estimation equations.ResultsSOFA scores were measured in 228 patients. Facial appearance scored by the extent of eye-opening was associated with a higher SOFA score at admission and follow-up (unadjusted 0.7 points per step (95%CI 0.5 to 0.9)). There was no association between facial skin colour and a worse SOFA score over time. However, patients with half-open or closed eyes along with flushed skin had a lower SOFA score than patients with a pale or normal facial skin colour (P-interaction < 0.1).ConclusionsThe scoring of patients’ facial cues, primarily the extent of eye-opening and facial colour, provided valuable insights into the disease state and progression of the disease of critically ill patients. The utilization of advanced monitoring techniques that incorporate facial appearance holds promise for enhancing future intensive care support.

Young Chinese female body skin pigmentation map: A pilot study.

Most studies have discussed variations in facial skin colour based on age, gender, and anatomical site within a specific ethnic group. However, skin pigmentation on the body is also a concern for many people. The aim of this study is to gather baseline data for Chinese young females, conduct a comprehensive assessment of body skin pigmentation, and create a body skin pigmentation map. Individual type angle (ITA°) was registered by CL 400 and melanin index (MI) was registered by MX 18 in 100 body points of 20 Chinese females. A total of 12,000 measurements were recorded. Our results showed significant differences among the symmetrical points on both sides of the body, including the clavicle, inner wrists, groin, inner ankle, elbow, armpit, waist side, the space between the thumb and index finger, instep, back shoulder, and popliteal space. Of all the points tested on the body, the points with the most severe skin pigmentation were the back of the neck, the heel, the elbow, and the popliteal space. This is the first comprehensive study of skin pigmentation conducted on the human body. In young Chinese women, the points with the most severe skin pigmentation were the back of the neck, heels, elbows, and the popliteal space.

Effects of facial skin pigmentation on social judgments in a Mexican population.

People quickly and involuntarily form impressions of others based on their facial physical attributes, which can modulate critical social interactions. Skin pigmentation is one of the most variable and conspicuous facial traits among human populations. Empirical evidence suggests that these variations reflect ancestral ecological selective pressures balancing cutaneous vitamin D synthesis with the protection of the dermis from ultraviolet radiation. Nevertheless, skin pigmentation may currently be subject to additional selective pressures. For instance, the colonial era in Central and South America developed a highly stratified society based on ethnic origins, and light skin pigmentation became associated with higher social status and deference. This association could have originated through historical social learning that promoted favorable social perceptions towards individuals with lighter skin color and unfavorable perceptions towards individuals with darker skin color, which could still be present in the perception of current populations. Facial skin pigmentation is also sexually dimorphic, with males tending to exhibit darker skin than females, a difference that could be driven by sexual selection. To explore whether social learning and sexual selection represent additional selective pressures on skin pigmentation, we tested how this facial trait influences fundamental social perceptions in a Mexican population (N = 700, 489 female). We sampled facial images of eight European American males with natural lighter facial skin and eight males from an indigenous pre-Columbian community from Mexico, the Me'Phaa, with natural darker facial skin. We produced stimuli from these images by varying the skin pigmentation while preserving the facial shape. Stimuli were rated on attractiveness, trustworthiness, perceived health, dominance, aggressiveness, and femininity/masculinity. We found that the natural light-skinned faces were perceived as more attractive, trustworthy, and healthy but less dominant than the natural dark faces. Furthermore, by varying the facial skin color in these original groups, we altered the perceptions of them, mainly their attractiveness. These results partially support the hypothesis that dark facial skin color may help males compete for mates. Also, the results strongly support the view that lighter facial skin color became associated with social benefits through social learning in this Mexican population. Our findings, when viewed through the lens of cultural evolution, align with previous research in social psychology and anthropology. They hold the potential to offer a comprehensive understanding of the origin of this social phenomenon of cultural transmission, which currently plays a role in the formation of racial attitudes, stereotyping, and racial inequality in Mexican and other Latin American populations.

Improve Image White Balance by Facial Skin Color

Improve Image White Balance by Facial Skin Color

Crowd counting algorithm based on face detection and skin color recognition

This paper introduces an innovative crowd counting algorithm using skin color information. Through stages of color space transformation, threshold segmentation, morphological processing, and region filtering, the algorithm successfully conducts crowd counting in images. The study encompasses analyses of images with diverse crowd densities, skin colors, backgrounds, and lighting intensities, revealing the algorithm's robustness to various factors. It remains unaffected by skin color and crowd size and exhibits minimal sensitivity to background and lighting intensity. Furthermore, the paper explores image feature analysis and uses MATLAB programming for simulation and initial crowd counting, considering images with different actual crowd sizes. Despite minor issues such as the insufficient separation of faces from clothing and the influence of lighting intensity, the algorithm performs reliably in most scenarios, demonstrating high crowd counting accuracies. To bolster the accuracy and robustness of the algorithm, optimization of the separation step and control of the lighting effect on images is suggested. The key focus of this study is the application of the Gaussian model in the YCbCr color space for face detection and examining its impact on the efficiency and accuracy of crowd counting algorithm. The research not only provides a novel approach for crowd counting in images but also offers insightful perspectives for future studies and potential improvements. Thus, the study proves to be a significant contribution to face detection and recognition technology, enhancing its application in fields like public safety, crowd management, and surveillance systems.

Assessing color cues of development, breeding status and reproductive condition in captive golden lion tamarins (Leontopithecus rosalia).

Color signals play an important role in intraspecific communication and are well studied in catarrhine primates, which exhibit uniform trichromatic vision that is well suited to detecting such signals. Platyrrhine primates exhibit polymorphic color vision with different individuals possessing different color vision types in most species. Intriguingly, some platyrrhine species exhibit bare faces, which are convergent with those of catarrhines. However, putative functions of bare-faced color signals in platyrrhines remain largely unexplored. We measured facial skin color of five captive golden lion tamarins (Leontopithecus rosalia) using color-calibrated digital photography and modeled these colors to the visual systems of the species. Our results show that facial coloration is different between infant and older adults and varies across reproductive condition, but not between breeding and nonbreeding adults. While preliminary, our study suggests that facial coloration may be involved in sociosexual signaling in golden lion tamarins, and provides intriguing evidence that we hope might stimulate more studies of bare-faced signaling in platyrrhines.

Method and analysis of color changes of facial skin after applying skin makeup

This study investigated facial skin color differences before and after makeup. Toward this goal, a photo gauge, devised with a pair of color checkers as a reference, collected face images. In addition, color calibration and a deep-learning method extracted the color values of representative areas of facial skin. The photo gauge photographed 516 Chinese females before and after applying makeup. Then, the collected images were calibrated by referencing skin color patches, and the lower cheek regions’ pixel colors were extracted using open-source computer vision libraries. Following the visible color spectrum of humans, the color values were computed in L*, a*, and b* of CIE1976L*a*b*. The results showed that the facial colors of the Chinese females changed to become brighter, less reddish, and less yellowish after applying the makeup, resulting in a paler skin tone. During the experiment, subjects were given five varieties of liquid foundation to choose one sample that best fits their skin. However, we failed to find any noticeable relationship between the individual’s facial skin color characteristics and the liquid foundation selected. In addition, 55 subjects were identified according to their makeup use frequency and skill, but their color changes did not differ from the other subjects. This study provided quantitative evidence of makeup trends in the Shanghai region in China, and the method proposes a novel approach toward remote skin color research.

Through a New Lens: Skin-Grafted Free Flaps and Objective Facial Skin Color Matching.

Background: Head and neck ablative surgery can impose aesthetic disfigurement, particularly when severe color mismatch exists between native and reconstructed facial skin. To date, the accuracy, objectivity, and modifiability of facial skin color matching remains poorly understood. Objective: To measure skin color match outcomes after head and neck reconstruction using handheld colorimetry. Methods: Patients undergoing complex head and neck reconstruction involving facial skin were included. A variety of skin paddle donor sites were studied, including split-thickness skin graft (STSG) placement over myocutaneous or adipofasciocutaneous free flaps after de-epithelization. Skin color match (deltaE) was measured during follow-up using a handheld colorimeter. Results: Forty-seven patients were included, with median age 69. The most common flap type was the anterolateral thigh (n = 31, 66%). Twenty patients underwent STSG to the skin paddle. DeltaE measurements among the patients with STSGs demonstrated better color match (lowest deltaE), compared with patients with unaltered skin paddles (3.4 ± 1.0 vs. 6.5 ± 2.5, p < 0.0001). Conclusion: We found the use of STSGs over de-epithelialized myogenous or adipofasciocutaneous flaps improves color match, as measured by handheld colorimetry.

Online New Media Oriented Privacy Data Recognition Mechanism Based on Deep Learning

Although the current face de-recognition algorithm can effectively protect the user’s identity, it will change the original attributes of the image, destroy the visual effect, or change the characteristics of the image to varying degrees. Traditional methods such as pixelation and occlusion can effectively realize face de-recognition, but the processed image cannot be used for basic processing such as face statistics and expression recognition, which greatly destroys the usability of the image in the field of online new media. In order to preserve more attributes of the original image and reduce the changes of facial skin color and texture features caused by the above de-recognition algorithm’s operation on the whole facial area, this paper proposes a privacy protection model of face image based on generative adversarial network and facial feature analysis. Our model realizes face recognition based on changing the original image as little as possible. Specifically, we identify and extract features from fixed parts in face images, including eyes, nose, mouth, eyebrows, and cheeks. Then, we designed a face privacy recognition and protection model based on conditional generative adversarial networks. We verify our proposed method on two most commonly used face datasets in face research, namely CelebFaces Attributes and Labeled Faces in the Wild, and the results show that our proposed method achieve better performance compared with other face privacy protection methods.

Multi-Biometrics: Survey and Projection of a New Biometric System

Multi-biometric systems using feature-level fusion allow more accuracy and reliability in recognition performance than uni-biometric systems. But in practice, this type of fusion is difficult to implement especially when we are facing heterogeneous biometric modalities or incompatible features. The major challenge of feature fusion is to produce a representation of each modality with an excellent level of discrimination. Beyond pure biometric modalities, the use of metadata has proven to improve the performance of biometric systems. In view of these findings, our work focuses on multi-origin biometrics which allows the use of pure biometric modalities and metadata in a feature fusion strategy. The main objective of this paper is to present an overview of biometrics as bordered in the literature with a particular focus on multibiometrics and to propose a model of a multi-origin biometric system using pure biometric and soft biometric modalities in a feature-level fusion strategy. The curvelet transformation and the order statistics are proposed respectively for the extraction the feature of the pure biometric modalities, and for the selection of the relevant feature of each modality in order to ensure a good level of discrimination of the individuals. In this paper, we have presented the overview of biometrics through its concepts, modalities, advantages, disadvantages and implementation architectures. A focus has been put on multi-biometrics with the presentation of a harmonized process for feature fusion. For the experiments, we proposed a global model for feature fusion in a multi-origin system using face and iris modalities as pure biometrics, and facial skin color as metadata. This system and the results will be presented in future work.

Face Mask Recognition based on Facial Feature and Skin Color Conversion

Face Mask Recognition based on Facial Feature and Skin Color Conversion

Spectra Reconstruction for Human Facial Color from RGB Images via Clusters in 3D Uniform CIELab* and Its Subordinate Color Space.

Previous research has demonstrated the potential to reconstruct human facial skin spectra based on the responses of RGB cameras to achieve high-fidelity color reproduction of human facial skin in various industrial applications. Nonetheless, the level of precision is still expected to improve. Inspired by the asymmetricity of human facial skin color in the CIELab* color space, we propose a practical framework, HPCAPR, for skin facial reflectance reconstruction based on calibrated datasets which reconstruct the facial spectra in subsets derived from clustering techniques in several spectrometric and colorimetric spaces, i.e., the spectral reflectance space, Principal Component (PC) space, CIELab*, and its three 2D subordinate color spaces, La*, Lb*, and ab*. The spectra reconstruction algorithm is optimized by combining state-of-art algorithms and thoroughly scanning the parameters. The results show that the hybrid of PCA and RGB polynomial regression algorithm with 3PCs plus 1st-order polynomial extension gives the best results. The performance can be improved substantially by operating the spectral reconstruction framework within the subset classified in the La* color subspace. Comparing with not conducting the clustering technique, it attains values of 25.2% and 57.1% for the median and maximum errors for the best cluster, respectively; for the worst, the maximum error was reduced by 42.2%.

VideoCAD: An Uncertainty-Driven Neural Network for Coronary Artery Disease Screening From Facial Videos

Coronary artery disease (CAD) is highly prevalent worldwide but is challenging to identify due to its hidden symptoms. Facial videos provide a possible means for CAD screening as facial features and skin color changes are associated with CAD risk. However, opposite test results of CAD may be drawn from facial features and skin color changes. A neural network, VideoCAD, is proposed in this work to address this problem. It consists of two modules, PulseCAD and ImageCAD. PulseCAD predicts whether CAD was present based on the facial features in a video frame, and ImageCAD performs CAD prediction based on the pulse-related features in skin color changes. VideoCAD quantifies the uncertainties of the two modules’ predictions before selecting the prediction with lower uncertainty as the final result. VideoCAD is evaluated on 1200 video samples of 200 subjects (50% CAD). Its predictions are in substantial agreement with the ground truths, with both the sensitivity (SE) and specificity (SP) of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$&gt;0.88$ </tex-math></inline-formula> . It also outperforms the state-of-the-art methods that only consider the face or pulse features, achieving a >20% increase in Cohen’s Kappa coefficient. This technique may hold promise to achieve opportunistic screening for occult CAD in the community.

An investigation of the influence of skin colour on the perception of femininity, masculinity and likeable.

Facial skin colour, a key factor related to impressions, is widely used by CG character designers to build characters with different storylines. The previous research provided essential suggestions for creating an attractive facial image. However, the suggestions of the prior research are insufficient for building the characters to resonate with the current public, especially young people. The present study investigates the influence of skin colour (whiteness and hue angle) on the femininity, masculinity and likableness perception of Chinese female and male images. A psychophysical experiment was carried out to investigate these relationships. The categorical judgement results reveal that whiteness significantly impacted the feminine-masculine perception of the Chinese male image and the likableness perception of the Chinese female and male image. This connection between the whiteness and likability of the male facial image could be related to the beauty trends in the last decade. The hue angle only significantly influenced the likability perception of the Chinese female image. This result is agreed with past research in the same area.

Validating a Novel Device to Improve Skin Color Matching for Face Transplants.

A prospective study of 100 individuals was conducted. All participants were photographed and scanned with the Nix Color Sensor. Sixty pairwise comparisons were randomly generated. Skin color analysis was performed using photographs and the Nix Color Sensor. Delta E2000 values were compared to mean evaluator ratings using a Spearman correlation analysis. One hundred patients were included. A Spearman's correlation demonstrated a strong inverse correlation between Delta E2000 values and the mean evaluator ratings. The higher the mean evaluator rating for likeness, the lower the delta. A correlation coefficient of -0.850 demonstrates a statistically significant relationship (P < 0.01). When the Delta E2000 rises above 5 there is a significant drop in the mean evaluator ratings. As mean evaluator ratings of 5 and above would be considered adequate for face transplant amongst most plastic surgeons, an E2000 value of 5 or lower should be targeted when matching donors with recipients for face transplant. The Nix Color Sensor positively correlates to the plastic surgeon's perception of skin color and can serve as an adjunct in donor selection for facial VCAs.

Visual dubbing pipeline with localized lip-sync and two-pass identity transfer

Visual dubbing uses visual computing and deep learning to alter the lip and mouth articulations of the actor to sync with the dubbed speech. It has the potential to greatly improve the content generated from the dubbing industry. Quality of the dubbed result is primary for the industry. An important requirement is that visual lip sync changes be localized to the mouth region and not affect the rest of the actor’s face or the rest of the video frame. Current methods can create realistic looking fake faces with expressions. However, many fail to localize lip sync and have quality problems such as identity loss, low-res, blurs, face skin feature or color loss, and temporal jitter. These problems mainly arise because end-to-end training of networks to correctly disentangle these different visual dubbing parameters (pose, skin color, identity, lip movements, etc.) is very difficult to achieve. Our main contribution is a new visual dubbing pipeline, in which, instead of end-to-end training we apply incrementally different disentangling techniques for each parameter. Our pipeline is composed of three main steps: pose alignment, identity transfer and video reassembly. Expert models in each step are fine-tuned for the actor. We propose an identity transfer network with an added style block, which with pre-training is able to decouple face components, specifically identity and expression, and also works with short video clips like TV ads. Our pipeline also includes novel stages related to temporal smoothing of the reenacted face, actor specific super resolution to retain fine facial details, and a second pass through the identity transfer network for preserving actor identity. Localization of lip-sync is achieved by restricting changes in the original video frame to just the actor’s mouth region. The results are convincing, and a user survey also confirms their quality. Relevant quantitative metrics are included.

The feasibility study of objective evaluation of the severity of motion sickness by quantitative analysis of the facial skin color

Objective: To explore the feasibility of applying quantitative analysis of the facial skin color to evaluate the severity of motion sickness objectively and to seek objective indicators that can reflect the severity of motion sickness. Methods: Motion sickness was induced in 51 male adult subjects recruited at the Air Force Medical University by Coriolis acceleration stimulation, and facial skin colorimetric values were acquired using a portable spectrophotometer at five time points: before stimulation and at 0 min, 10 min, 20 min and 30 min after the end of stimulation. The Graybiel rating scales were applied to assess the severity of motion sickness in subjects at each time point after stimulation, and the correlation between the magnitude of change in each colorimetric value and the maximum Graybiel's score was analyzed. The ROC curves were used to compare the evaluation performance of colorimetric value indicators which could reflect the severity of motion sickness. Results: Each colorimetric value in the CIE-L*a*b* color system changed significantly after exposure to provocative motion stimuli, and the trend was consistent with the typical sign of pallor in motion sickness. The magnitudes of the increase in the colorimetric value CIE-L*, the decrease in CIE-a*, and the increase in CIE-b* were all significantly and positively correlated with the maximum of Graybiel's scores (r=0.490 0, P=0.000 3; r=0.549 3, P<0.000 1; r=0.540 9, P<0.000 1). Comparing the performance of three colorimetric indicators to assess the severity of motion sickness, CIE-a* had an area under the ROC curve of 0.875 0, a sensitivity of 85.71%, and a specificity of 87.50%, which was better than CIE-L* and CIE-b*. Conclusions: The CIE-L*a*b* colorimeter values can be considered as objective indicators of the severity of motion sickness, among which the colorimetric indicator CIE-a* has the most diagnostic significance, and the method of quantitative analysis of the facial skin color can provide a new reference for the objective evaluation of the severity of motion sickness.