19 results about "Complexion" patented technology

1. Name of the designed product: packing box (granules for regulating menstruation and beautifying complexion). 2. Use of the designed product: the designed product is used for packing products. 3. Design points of the designed product: combination of shape and pattern. 4. Picture or photo best indicating the design points: perspective view.

This invention relates to the fields of physiological signal processing and emotion recognition technology, and discloses a method for recognizing physiological and emotional states of diverse populations. The method includes: acquiring facial video streams, infrared thermal imaging, and electrodermal signals; performing spectral adaptive enhancement based on skin color to obtain a spectrally enhanced video stream; inputting the spectrally enhanced video stream into a spatially modulated attention network to obtain a remote photoplethysmography waveform; extracting temperature distribution features from infrared thermal imaging; extracting electrodermal response features from electrodermal signals; aligning the three signals spatiotemporally and constructing alternative features for the failed signal based on the signal-to-noise ratio; inputting the three signals and alternative features into a multimodal signal pattern recognition network for weighted fusion, outputting a fused physiological feature; inputting the fused physiological feature into a population-level verification network for population adaptive matching and individual baseline correction, outputting the final emotional state. This invention achieves robust, fair, and accurate emotion recognition for diverse populations.

The present invention relates to the cosmetic use of an active ingredient obtained from the species Myrtus communis, as a complexion perfector, by acting on mitochondrial activity. This active ingredient comprises an extract of Myrtus communis, the latter comprising at least 20% carbohydrates and less than 10% polyphenols in the total dry matter of the extract.

This invention proposes a method and system for modeling and analyzing facial physiological parameters based on the spectrum of real skin color. First, the spectral reflectance of local facial skin is measured by capturing facial images and extracting image data from the measurement locations. Second, the spectral reflectance of the facial skin region is obtained by combining the captured and measured skin data with a spectral reconstruction algorithm. Subsequently, a two-layer optical model including the epidermis and dermis is constructed, and a power-law scattering model is introduced to describe tissue scattering behavior. Based on this, a positive mapping from physiological parameters to reflectance spectra is established using the theory of semi-transparent turbid media combined with Fresnel reflection correction at the air-skin and epidermal-dermal interfaces. Finally, a weighted optimization objective function with physiological constraints is designed for the measured spectrum, and an algorithm for boundary-constrained optimization problems is used to simultaneously invert 10 key physiological parameters, achieving high-precision, non-invasive, and quantitative assessment of skin pigmentation, blood oxygenation status, and nutritional levels.

The application discloses a mild multi-effect scrub containing biosugar lipids and amino acid surfactants and a preparation method thereof. Sodium cocoyl glycinate, biosugar lipids, nicotinamide and hydrolyzed yeast extract are used as core components, physical scrub particles are matched, and cosmetic acceptable carriers such as polyols and thickening agents are compounded, and the mild multi-effect scrub is prepared through processes such as phase solubility, homogenization, temperature reduction and dispersion. The application reduces the irritation of the product from the two dimensions of chemical cleaning and physical friction, realizes the cleaning and exfoliation, simultaneously achieves the multiple effects of skin color lightening, bacteriostasis and acne removal, the core components have synergistic effects, the problems of strong irritation, single function and large environmental burden of traditional scrubs are solved, the product is suitable for sensitive skin, has environmental friendliness and verifiable efficacy, and has a wide application prospect.

The present application relates to a kind of high light removal method and system of face image based on regional hierarchical processing, belong to digital image processing technical field.It includes the following steps: obtaining face image and generating face target area mask, image is converted from RGB color space to LAB color space in limited area, and overexposure and near overexposure area are divided based on brightness threshold value;Fill in repair is carried out to overexposure area using the statistical characteristics of near overexposure area on brightness and color difference channel;Further generate highlight area mask according to brightness distribution, calculate dynamic adjustment coefficient, and adaptively update brightness and color difference channel in highlight area, finally the repair result is converted back to RGB color space and output, effectively remove the high light of face and keep natural skin color.The present application can effectively retain face details and color consistency while suppressing overexposure highlight, improve the naturalness and robustness of the result of removing highlight.

The application belongs to the technical field of stem cell application, and provides a stem cell cytokine-containing composition, which comprises the following raw materials in mass percentage: stem cell cytokine concentrate 72-84%, trehalose 2-5%, mannitol 10-15%, antioxidant 3-5%, whitening component 1-7%, and the balance is water. The composition is safe to the skin and has no adverse reactions; can increase skin cell activity, promote skin cell metabolism, improve skin elasticity, and increase skin water content, so as to improve skin balance, achieve the effects of moisturizing, whitening, anti-aging and skin color lightening.

The present application relates to a convolutional neural network-based image color fusion method, device and storage medium, applied to the technical field of image processing, comprising: realizing color adaptation of foreground and background under the double constraints of foreground mask and skin segmentation mask through a color fusion model, optimizing the color naturalness of the skin area, effectively solving the problems of rigid fusion and strange skin color in the prior art, and improving the stability of the method; The high-resolution processing strategy of "low-resolution inference + detail preservation color migration" not only avoids the problems of large video memory consumption and long time consumption of direct high-resolution inference, but also solves the problems of loss of global color information in block inference and introduction of edge abnormalities in traditional high-frequency information recovery; The detail preservation color migration model can accurately extract the color features of the low-resolution fusion result and completely retain the texture details of the high-resolution original image, realizing the dual goals of color fusion and detail preservation; Automatic processing significantly reduces time and labor costs.

The present invention relates to a composition comprising a glycosaminoglycans (GAGs)-amino acid complex (GAGs-AA complex) as an active ingredient. In addition, the cosmetic composition according to the present invention made to include a GAGs-AA complex by means of physicochemical interaction as an active ingredient, and thus can exhibit remarkable effects for brightening skin, ameliorating wrinkles, improving elasticity, moisturizing, improving skin barriers, enhancing beneficial bacteria of the skin, or soothing the skin.

A formula for a beauty and complexion-enhancing agent, comprising the following raw materials: 12-15 parts of Polygonum multiflorum Thunb., 9-12 parts of Angelica dahurica, 4-6 parts of Aconiti Lateralis Radix Praeparata, 6-8 parts of honey, 0.1-0.3 parts of sodium hyaluronate, and 3-4 parts of ginger juice. The advantages of the invention are as follows: the processed Aconiti Lateralis Radix Praeparata effectively reduces its toxicity, while the other ingredients are all natural components, causing minimal skin irritation, making it safe and reliable to use; by combining Polygonum multiflorum Thunb., Angelica dahurica, and Aconiti Lateralis Radix Praeparata, the formula provides multiple effects including hydrating and locking in moisture, improving skin dryness and roughness, reducing scars, alleviating acne inflammation, and decreasing pigmentation, thereby comprehensively improving skin condition.

The present application relates to a plant extract-based liposoluble antioxidant and skin lightening composition and its skin care product. The plant extract-based liposoluble antioxidant and skin lightening composition comprises the following components by mass fraction: 5-50 of deep sea fish oil, 0.05-2 of tomato fruit extract & jojoba seed oil & squalane compound, and 0.05-1 of jojoba seed extract & olive fruit oil compound. The present application improves the skin lipid content through the synergistic effect of deep sea fish oil, tomato fruit extract & jojoba seed oil & squalane compound, and jojoba seed extract & olive fruit oil compound, resists oxidation in multiple dimensions, removes free radicals, reduces collagen loss, inhibits melanin production, increases skin hyaluronic acid content, enhances the ability of cells to resist oxidation, improves the glossiness and elasticity level of skin cells, and ultimately achieves the effects of antioxidant and overall whitening and skin lightening.

The present invention relates to a cosmetic or dermatological composition and to the use thereof, in particular for enhancing and firming the skin, and combating a dull complexion. The cosmetic or dermatological composition comprises, in % by weight relative to the total weight of the composition, from 3 to 4% by weight of at least one vegetable oil rich in essential polyunsaturated fatty acids; a combination of 0.002 to 0.02% of a copper salt, 0.02 to 0.2% of a zinc salt, and 0.02 to 0.2% of a magnesium salt; a myrtle essential oil; and vitamin C and / or a derivative thereof. The present invention also relates to a cosmetic treatment method comprising a step of applying an effective quantity of the composition to a person's skin.

The present application relates to the technical field of medical image processing, and discloses a kind of enhanced SAM's child dermatoscope image segmentation method, comprising: collecting child dermatoscope image and repairing circular reflection area, through adaptive light correction and skin color standardization processing to enhance lesion visibility and eliminate individual color difference;Image is divided into non-overlapping block sequence, projection and fusion learnable position coding to obtain feature sequence;Through double-branch parallel extraction global semantics and local boundary texture features, using spatial perception gate mechanism to adaptively fuse double-branch features;Double-layer residual connection is carried out to the fusion features and stacked multiple layers to form deep encoder, obtain multi-scale feature pyramid;Layer by layer up-sampling and fusing each layer feature, through multi-scale boundary refinement network to deal with fuzzy boundary to obtain binary segmentation mask.The present application can improve the segmentation accuracy and computational efficiency of fuzzy boundary lesions in child dermatoscope image.

A method for demonstrating the effect of a cosmetic procedure on a subject, by means of an analytical apparatus, wherein said method comprises the steps of providing illumination to said subject using a lighting configuration, taking at least three photographs of said subject after said cosmetic procedure has been performed on said subject, wherein for each of said at least three photographs a different lighting configuration is used, creating, by means of said analytical apparatus, an image with three-dimensional metadata, wherein said three-dimensional metadata is determined by calculating a plurality of normals of said subject using said at least three photographs, thereby obtaining curvature information of said subject, implementing a skin model, wherein said skin model is based on a skin color and brightness value of said subject, and demonstrating, by means of said analytical apparatus,the effect of said cosmetic procedure by providing said image with said three-dimensional metadata in a virtual environment, and differentiating the light provided in said virtual environment to said image with said three-dimensional metadata.

The embodiment of the present application provides a kind of autonomous medicine delivery and safety monitoring method and robot, comprising: in response to received medicine delivery instruction, preloading the historical complexion health index database of user;Control robot moves to the target user location of user, and carries out identity verification in target user location;When identity verification passes, the personalized medication regimen and historical complexion health index database of user are called;Collect the blood pressure, heart rate, body temperature data of user, to obtain the complexion health index of user on the day;The complexion health index on the day is compared with historical complexion health index database, and the complexion health degree of user is obtained;The complexion health degree, physiological data and drug contraindication information are fused, and the medication risk result is generated;Based on medication risk result, the personalized medication regimen is adjusted, and target medication guidance information is dynamically generated and output.The method improves the precision, interactive experience and safety of medicine delivery service.

This invention relates to a type of pie, particularly a Chrysanthemum Flower Pie and its preparation method. It comprises the following ingredients in parts by weight: 75-85 parts flour, 1-2 parts eggs, 35-45 parts Chrysanthemum Flower, 25-35 parts red beans, 15-25 parts jujubes, 5-15 parts honey, 1-2 parts lemon juice, and 5-8 parts cooking oil. The outer crust of this invention uses a traditional sourdough fermentation process, combined with precise temperature-controlled baking. The finished product has a golden-brown, crispy crust with a subtle wheat aroma, a soft and non-dry texture, and long-term consumption can help improve skin condition and brighten the complexion.

This invention discloses an intelligent assessment and extravasation warning system for peripheral intravenous infusion sites in chemotherapy patients, relating to the fields of intelligent medical image analysis and clinical nursing assistance. The system includes an infusion site image acquisition module, an image preprocessing module, a skin condition analysis module, an extravasation identification module, a risk grading module, and a warning push module. It periodically acquires skin images of the puncture site using a miniature camera. After illumination correction and skin color standardization, a deep learning network is used to extract skin color, swelling degree, and texture change features. It identifies extravasation signs such as redness, paleness, and swelling and calculates confidence levels. Combined with the chemotherapy drug irritation grading, a risk-weighted assessment is performed, and warnings for medium- and high-risk events are pushed to the nurse's mobile terminal in real time.

The application discloses a blood pressure and blood lipid remote real-time monitoring system and device based on edge computing and relates to the technical field of medical health monitoring. The system comprises an information acquisition and processing module: a time-domain resolution multispectral photon counter is used to acquire photon dynamic observation data of subcutaneous tissue of a user; and on the edge side, a parameterized general biological tissue optical model and a biological-physical inverse solver are used to generate a user personal health digital twin model through an inverse optimization process and to solve real-time physiological parameters of the user. The application uses a time-domain resolution multispectral photon counter to acquire multi-dimensional photon dynamic observation data, uses a biological-physical inverse solver to suppress noise through model comparison, effectively resists motion artifacts, and improves the accuracy of data; by executing a first inverse optimization process, a personal health digital twin model is generated for each user, the influence of individual differences such as skin color and weight on the monitoring accuracy is reduced, and the authenticity of the monitoring result is improved.