A PEFS (Piezoelectric Finger Sensor) acts as an electronic finger capable of accurately and non-destructively measuring both the Young's compression modulus and shear modulus of tissues with gentle touches to the surface. The PEFS measures both the Young's compression modulus and shear modulus variations in tissue generating a less than one-millimeter spatial resolution up to a depth of several centimeters. This offers great potential for in-vivo early detection of diseases. A portable hand-held device is also disclosed. The PEF offers superior sensitivity.

A device for measuring a mechanical property of a tissue includes a probe configured to perturb the tissue with movement relative to a surface of the tissue, an actuator coupled to the probe to move the probe, a detector configured to measure a response of the tissue to the perturbation, and a controller coupled to the actuator and the detector. The controller drives the actuator using a stochastic sequence and determines the mechanical property of the tissue using the measured response received from the detector. The probe can be coupled to the tissue surface. The device can include a reference surface configured to contact the tissue surface. The probe may include a set of interchangeable heads, the set including a head for lateral movement of the probe and a head for perpendicular movement of the probe. The perturbation can include extension of the tissue with the probe or sliding the probe across the tissue surface and may also include indentation of the tissue with the probe. In some embodiments, the actuator includes a Lorentz force linear actuator. The mechanical property may be determined using non-linear stochastic system identification. The mechanical property may be indicative of, for example, tissue compliance and tissue elasticity. The device can further include a handle for manual application of the probe to the surface of the tissue and may include an accelerometer detecting an orientation of the probe. The device can be used to test skin tissue of an animal, plant tissue, such as fruit and vegetables, or any other biological tissue.

An image analysis apparatus that analyzes a skin condition from a video of the face of a subject captured with an imaging part includes a tracking part configured to track the amount of changes of multiple tracking points arranged in advance in an analysis region of the face based on a change in the expression of the face included in the video, and obtain the compression ratio of the skin in the analysis region based on the amount of changes, and a skin condition analysis part configured to analyze the skin condition of the subject based on the compression ratio obtained by the tracking part.

In a moisture feeling evaluation device according to the present invention, an image input unit 1 receives an input of a captured image obtained by imaging a face F of a subject for which making up is performed, a brightness-color index calculation unit 10 calculates all of the amount of generated gloss, the amount of stain portions, and the amount of color irregularity portions as brightness-color indexes based on the captured image input to the image input unit 1, a shape index calculation unit 11 calculates all of the amount of wrinkle portions and the amount of pore portions as shape indexes based on the captured image input to the image input unit 1, and a moisture feeling evaluation unit 5 evaluates a feeling of visible moisture of the face F of the subject for which making up is performed based on the brightness-color indexes and the shape indexes.

The dynamic positioning of sensors, which exploit the mechanical and physiological changes in tissues, can significantly increase the performance in characterization of tumors. Here, we disclose the Optical Dynamic Imaging (ODI) System for tumor characterization. ODI System estimates size, depth, elastic modulus and optical properties of embedded objects. The ODI System consists of a tactile imaging sensor (TIS), and a near infrared diffuse spectral imaging. To obtain mechanical properties of the target, we compress the region of interest with the probe, then the light from the probe is scattered and captured by the camera as a tactile image. On the other hand, using a light source and the camera as a detector, we obtain the diffuse spectral images. From these images, we compute the absorption coefficient of the embedded tumor phantom. We move the source-detector simultaneously and collect optical information. We termed this maneuver as dynamic positioning. Optical Dynamic Imaging System also provides position and orientation of the light source and the detectors. The combination of the absorption coefficient and tactile data along with location information improves the size, depth, and elastic modulus estimation.

The present invention relates to a skin care system (10), comprising: (i) a skin treatment device (12) for treating a skin of a user; (ii) a receiving unit (14) for receiving information on the skin of the user; and (iii) an evaluation unit (16) which is configured to evaluate the received information on the skin of the user and to determine based on said evaluation one or more personalized device settings for operating the skin treatment device (12). The skin treatment device (12) comprises a control unit (36) which is configured to operate the skin treatment device (12) upon initiation based on the determined one or more personalized device settings.

Automated tissue stiffness measurement devices and methods can identify cancerous lesions with high sensitivity and specificity. Systems and methods are presented to measure tissue stiffness using applied force, illumination and imaging techniques. The systems and methods can use structured illumination to characterize a tissue surface.

An apparatus for estimating bio-information is disclosed. The apparatus may include: a pulse wave sensor configured to measure a pulse wave signal from an object; a force sensor configured to obtain a force signal by measuring an external force exerted onto the force sensor; and a processor configured to obtain a first input value, a second input value, and a third input value based on the pulse wave signal and the force signal, to extract a feature vector by inputting the first input value, the second input value, and the third input value into a first neural network model, and to obtain the bio-information by inputting the feature vector into a second neural network model.

Various techniques pertain to a user interface that includes an instructional display portion comprising one or more textual or graphical instructions pertaining to preparing for a body scan for body care of a client and a scan initiation display portion that includes a scan initiation widget which, when interacted by the client, invokes execution of a scan process and an analysis process for a respective body area of the client. The user interface further includes a scan result display portion including interactable textual or graphical information pertaining to a result of the body scan for the body care and an adjustment display portion having a plurality of adjustment widgets that transform at least a color index or value into a transformed color index or value in a L*A*B* color space or a Lch color space.

Provided is a device factor calculation system based on skin surface displacement for calculating a distribution of displacement and a size of an actually contracted dermal area according to derivation of displacement data around a skin dermal coagulation spot from images before and after photographing a dermal coagulation spot formation area of skin, including a preprocessor configured to take captured images before and after a skin procedure through an energy-based medical device as input to preprocess landmarks of skin as location data in the captured images before and after the skin procedure, a displacement calculator configured to derive landmark displacement data from landmark location data of the skin derived by the preprocessor, and to derive location data of a contraction center O based on the landmark displacement data, and a boundary deriver configured to derive a boundary of a contraction zone from the contraction center O in the skin procedure.