In a facial skin detection method performed by a terminal device having a front-facing camera, a first image including a face is obtained and feature information of pores in a target area of the face is extracted. The pores in the target area are classified into pore categories based on the feature information of the pores in the target area. Feature information of pores of each pore category is input into at least one pore detection model to obtain pore detection data of each pore category and a skin detection result of the face is determined based on pore detection data of the pore categories.

A system and method for precision skincare that uses a set of skin measurements to generate a skin profile and a skin need and the skin need is used to identify and predict an optimal skincare product formulation customized for each user based on the skin need of the user. The optimal skincare product formulation may include one or more active ingredients selected based on the skin profile and skin need of the user and a delivery mechanism for the one or more active ingredients. The optimal skincare product formulation may be generated using machine learning techniques and may include outcome feedback that optimizes the machine learning models.

In an embodiment, a method includes: generating a displacement signal indicative of a distension of a surface of a skin; determining a temperature of the skin using a temperature sensor; during a calibration time interval, collecting a plurality of distension values from the displacement signal, the plurality of distension values associated with a respective plurality of temperature values determined using the temperature sensor, the plurality of temperature values being indicative of a temperature change of the skin; determining compensation coefficients associated with the plurality of temperature values; and after the calibration time interval, collecting a first distension value from the displacement signal, determining a first temperature value using the temperature sensor, and determining a blood pressure based on the first distension value, the first temperature value, and the determined compensation coefficients.

An apparatus for estimating bio-information is provided. According to an embodiment of the present disclosure, the apparatus for estimating bio-information includes: a pulse wave sensor having a plurality of channels to measure a plurality of pulse wave signals from an object; a force sensor configured to obtain a force signal by measuring an external force exerted onto the pulse wave sensor; and a processor configured to: obtain a first feature for each channel by inputting the plurality of pulse wave signals for each channel and the force signal, into a first neural network model; obtain a weight for each channel by inputting the first feature to a second neural network model; obtain a second feature by applying the weight to the first feature for each channel by using the second neural network model; and obtain bio-information by inputting the second feature to a third neural network model.

A thickness analyzer unit for determining a thickness of a layer includes a temperature change device, a temperature sensor, a memory, and a controller. The temperature change device is configured to induce a temperature change of the layer from a first temperature value to a second temperature value. The temperature sensor is configured to generate first temperature data corresponding to the first temperature value and second temperature data corresponding to the second temperature value. The memory is configured to store the first and second temperature values, a thermal conductivity value, a specific thermal capacity value, and a density value. The controller is configured (i) to determine a time constant value of the layer based on the first and second temperature values, and (ii) to determine the thickness of the layer based on the time constant value, the thermal conductivity value, the specific thermal capacity value, and the density value.

An apparatus for estimating bio-information includes: a sensor part configured to obtain contact pressure of a contact surface contacted by an object, and configured to obtain a contact image of the object that contacts the contact surface; and a processor configured to obtain a pulse wave signal of a region of interest based on the contact image, and configured to estimate bio-information based on the obtained pulse wave signal and the contact pressure.

The following disclosure discusses systems and methods of detecting and analyzing cutaneous conditions. According to one embodiment, a 2D image of the cutaneous condition and a set of 3D point clouds associated with the 2D image are captured using an image capturing device. The 2D image and the set of 3D point clouds are sent to a computing device. The computing device generates a 3D surface according to the set of 3D point clouds. Subsequently, the computing device receives a depth map for the 2D image based upon the 3D surface from another computing device such that the depth map comprises depth data for each pixel of the 2D image. The cutaneous condition may then be measured and analyzed based upon the depth map using the computing device.

A stretchable sensor is provided. The stretchable sensor includes a first stretchable electrode including a first elastomer and a first conductor dispersed in the first elastomer, a stretchable active layer formed on the first stretchable electrode and including a third elastomer and an ion conductor dispersed in the third elastomer, and a second stretchable electrode formed on the stretchable active layer and including a second elastomer and a second conductor dispersed in the second elastomer. The stretchable sensor is effectively capable of sensing a temperature without being affected by strain and recognizing strain without being affected by temperature.

A method for identifying a dendritic pore is provided. Line and pore images are obtained from a digital image of a subject's skin. These line and pore images are overlaid to identify those pores having at least one line intersecting the pore as dendritic pores.

The present application discloses a method and a device for analyzing the water content of skin by means of a skin image. The method comprises performing skin feature analysis on an acquired skin image, and obtaining the water content of skin on the basis of the skin features, wherein the skin features comprise a glossiness level and a smoothness level. The present invention clearly shows a reduction in implementation costs when compared to the prior art. The invention also achieves rapid testing.