Apparatus for providing muscular biofeedback, comprising: facewear supporting biosensors arranged such that, in use, the biosensors are situated for detecting activity of a predetermined set of facial muscles; a feedback unit for providing biofeedback to a wearer of the facewear; and a control unit coupled to the biosensors and the feedback unit and arranged to identify patterns in the signals from the biosensors characteristic of one or more predefined imbalances in muscle activity between the left and right sides of the face; wherein the control unit is configured to, on identifying a pattern in the signals from biosensors characteristic of a first predefined imbalance in muscle activity between the left and right sides of the face, cause the feedback unit to provide biofeedback in correspondence with the imbalance.

The present invention relates to a device, system and method for less obtrusively determining a tissue characteristic of a subject, the device comprises a first control unit (11) configured to control an electromechanical transducer (31) by a first control signal (21) to transfer mechanical waves varying in a frequency range or with varying frequency content to an exposed tissue area of the subject; a second control unit (12) configured to control an electromagnetic radiation emitter (32) by a second control signal (22) to emit electromagnetic radiation towards the exposed tissue area of the subject; a radiation signal input (13) configured to obtain a radiation signal (23) indicative of electromagnetic radiation reflected from the exposed tissue area of the subject; and a processor (14) configured to determine a tissue characteristic signal (24) indicative of a tissue characteristic of the exposed tissue area of the subject derived from a frequency response or a frequency transfer function obtained from the obtained radiation signal in said frequency range or for said varying frequency content.

A detection result output method, an electronic device, and a medium are provided. The detection result output method includes: obtaining first image information of a first object, where the first image information includes skin information of the first object; outputting a target detection result in a case that a matching degree between a first image and a target image meets a first preset condition; and outputting a first detection result in a case that the matching degree between the first image and the target image does not meet the first preset condition. The target detection result is a detection result corresponding to the target image, and the first detection result is a detection result corresponding to the first image.

The present invention relates to a skin care device that maximizes effects of cosmetics by generating a microcurrent on the skin and allows a user to directly recognize effects of the skin care device by checking skin condition using a configuration capable of detecting biometric information.

The skin care device comprises: a main body unit equipped with a power button; a current rod installed on the main body unit and transmitting a microcurrent to a user's skin; a control unit installed inside the main body unit, supplying and controlling the microcurrent to the current rod based on an operation signal of the power button, and a sensor unit installed on the main body unit and measuring the user's skin information, wherein the skin care device informs skin condition of the user in real time based on the skin information measured by the sensor unit.

Presented is a device (100), comprising: a means for attaching the device to an image recording device; a mechanical means configured for applying a pre-defined pressure to skin such that skin is deformed under the pre-defined pressure; and wherein the mechanical means is adapted such that an image of the deformed skin can be recorded by the image recording device when the device is attached to the image recording device. Further, a system and a method for determining skin elasticity is presented.

Local image enhancement processing is executed on an image obtained by imaging a transcription material. The enhanced image is divided into a plurality of patch images and input to a machine learning identifier. The patch images after segmentation output from the machine learning identifier are combined to generate a likelihood map image of skin ridges from the whole image based on a result of the segmentation. Binarization processing is executed on the likelihood map image to generate a binary image. A skin ridge region is extracted based on the binary image to calculate the area of the skin ridge region.

Retinal diseases, such as age-related macular degeneration (AMD), are the leading cause of blindness in the elderly population. Since no known cures are currently present, it is crucial to diagnose the condition in its early stages so that disease progression is monitored. Systems and methods for detecting and mapping the mechanical elasticity of retinal layers in the posterior eye are disclosed herein. A system including confocal shear wave acoustic radiation force optical coherence elastography (SW-ARF-OCE) is provided, wherein an ultrasound transducer and an optical scan head are co-aligned to facilitate in-vivo study of the retina. In addition, an automatic segmentation algorithm is used to isolate tissue layers and analyze the shear wave propagation within the retinal tissue to estimate mechanical stress on the retina and detect early stages of retinal diseases based on the estimated mechanical stress.

This disclosure relates to diagnostic devices for diagnosing lymphedema. The diagnostic devices may include an array of sensors, which can at least include a durometer, temperature sensor, and dielectric sensor, to measure parameters of tissue. The measurements may be used to generate a tissue health score to diagnose lymphedema and monitor tissue heath.

A portable skin condition measuring apparatus according to an embodiment of the present disclosure is capable of complexly measuring and analyzing various skin condition indexes of a user by coming into contact with a user's face, body, or scalp. The portable skin condition measuring apparatus may solve inconvenience in measuring a user's skin condition and improve efficiency of measurement, determination, and care of the user's skin condition by measuring and analyzing various skin condition indexes of the user in a non-face-to-face manner.

A system, method, and computer readable media are provided for obtaining a first set of skin data from an image capture system including at least one ultraviolet (UV) image of a user's skin. Performing a correction on the skin data using a second set of skin data associated with the user. Quantifying a plurality of skin parameters of the user's skin based on the first skin data, including quantifying a bacterial load. Quantifying the bacterial load by applying a brightness filter to isolate portions of the at least one UV image containing fluorescence, applying a dust filter, identifying portions of the at least one UV image that contain fluorescence due to bacteria, and determining a quantity of bacterial load in the users skin. Determining, using a machine learning model, an output associated with a normal skin state of the user and a current skin state of the user.