An application control device according to an embodiment of the present invention has an acquisition unit that acquires image data of a skin; a division unit that divides the image data into a plurality of segments each smaller than or equal to 200 μm; and a calculation unit that calculates, from a value of one or a plurality of segments of the image data, an application amount of a cosmetic material to be applied to each portion of the skin.

The invention relates to a sensor for a terahertz imaging system which can be integrally produced using a semiconductor technology, comprising a flat substrate (60) made from semiconductor material that is transparent to terahertz radiation, configured to be oriented parallel to an object (12) to be analyzed; and a plurality of terahertz radiation receivers arranged according to a matrix (10) in the substrate. The sensor is lensless and comprises at least one terahertz radiation transmitter arranged in the substrate, so that the radiation emitted by the transmitter is reflected on the object (12) to be analyzed, towards the receivers.

Systems, methods, apparatuses, and computer program products for contact-free heart rate monitoring and/or measurement are provided. One method may include receiving video(s) that include visual frame(s) of individual s) performing exercises, detecting some exposed skin from the video(s), and performing motion compensation to generate color signals for the exposed skin to precisely align frames of the exposed skin. The method may also include generating the color signals by estimating a skin color for each frame by taking a spatial average over pixels of a cheek of the face(s) for R, G, and B channels, respectively, applying an operation to remove remaining motion traces from the frames such that the heart rate traces dominate, and extracting and/or outputting the heart rate of the individuals using a frequency estimator of the skin color signals.

A method and system of diagnosing a medical condition of a target area of a patient using a mobile device are provided. One or more magnetic field images of a target area of a patient are received. One or more hyperspectral images of the target area of the patient are received. For each of the one or more magnetic field images and the one or more hyperspectral images, a three-dimensional (3D) position of the mobile device is tracked with respect to the target are of the patient. A 3D image of the target area is generated based on the received one or more magnetic field images, one or more hyperspectral images, and the corresponding tracked 3D position of the phone with respect to each image. A medical condition of the target area is diagnosed or monitored based on the generated 3D image.

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.

Accordingly, systems and methods have been developed to monitor, diagnose, and predict the course of a wound to aid in determining whether a wound is properly healing. This includes systems and methods that may be performed by the patient in the home in some cases, and some that utilized sensors available on mobile devices. Thus, patients may be able to manage wounds at home without the intervention of caregivers and reduce the costs of admission to hospitals.

A cardiac health assessment system includes a memory, a circuit board, and a touchscreen controller integrated into a handheld electronic device (HED). The memory stores a classification model, a regression model, and instructions about a cardiac monitoring application. The circuit board includes a microphonic sensor, an Inertial Measurement Unit (IMU) sensor, a camera sensor, and a processor. The microphonic sensor captures cardiac sound wave signals indicative of the cardiac health of a user. The IMU sensor captures seismic signals indicative of the cardiac health of the user. The camera sensor enables visual data collection of tissue and photoplethysmography. The processor is configured to: execute the instructions, display commands to position the HED against the chest of the user, detect abnormal heart activity by deploying the classification model, and estimate intracardiac pressure by deploying the regression model. The touchscreen controller displays cardiac diagnostic information.

Augmenting real-time views of a patient with three-dimensional (3D) data. In one embodiment, a method may include identifying 3D data for a patient with the 3D data including an outer layer and multiple inner layers, determining virtual morphometric measurements of the outer layer from the 3D data, registering a real-time position of the outer layer of the patient in a 3D space, determining real-time morphometric measurements of the outer layer of the patient, automatically registering the position of the outer layer from the 3D data to align with the registered real-time position of the outer layer of the patient in the 3D space using the virtual morphometric measurements and using the real-time morphometric measurements, and displaying, in an augmented reality (AR) headset, one of the inner layers from the 3D data projected onto real-time views of the outer layer of the patient.

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.

An image analysis device according to the present invention includes: an image capturing unit that captures a subject; a light emitting unit that emits light to the subject; a control unit that causes the image capturing unit to capture a first image of the subject while causing the light emitting unit to emit light and causes the image capturing unit to capture a second image of the subject while not causing the light emitting unit to emit light; and an estimation unit that estimates color of the subject based on a differential value between color information on the first image and the color information on the second image.