Provided are a portable electronic device, an accessory, and an operation method thereof. The portable electronic device includes a light source irradiating light to skin, at least one light detector detecting light received from the skin, at least one memory storing an instruction, and a processor, by executing the instruction, controlling the light source to irradiate the light and analyzing a skin state based on light detected by the light detector.

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.

A computer-implemented method is provided for physical face cloning to generate a synthetic skin. Rather than attempt to reproduce the mechanical properties of biological tissue, an output-oriented approach is utilized that models the synthetic skin as an elastic material with isotropic and homogeneous properties (e.g., silicone rubber). The method includes capturing a plurality of expressive poses from a human subject and generating a computational model based on one or more material parameters of a material. In one embodiment, the computational model is a compressible neo-Hookean material model configured to simulate deformation behavior of the synthetic skin. The method further includes optimizing a shape geometry of the synthetic skin based on the computational model and the captured expressive poses. An optimization process is provided that varies the thickness of the synthetic skin based on a minimization of an elastic energy with respect to rest state positions of the synthetic skin.

A wearable electronic device may include a device body and a device band coupled to the device body for securing the device to a wrist of a user. The wearable electronic device may also include a wrist biometric sensor carried by one of the device body and the device band. The wrist biometric sensor may include biometric sensing pixels. The wearable electronic device may also include a processor coupled to the wrist biometric sensor and configured to cooperate with the biometric sensing pixels to acquire skin texture pattern images from adjacent portions of the user's wrist, and perform at least one authentication function based upon the skin texture pattern images.

A system and method are presented for use in monitoring one or more conditions of a subject's body. The system includes a control unit which includes an input port for receiving image data, a memory utility, and a processor utility. The image data is indicative of data measured by a pixel detector array and is in the form of a sequence of speckle patterns generated by a portion of the subject's body in response to illumination thereof by coherent light according to a certain sampling time pattern. The memory utility stores one or more predetermined models, the model comprising data indicative of a relation between one or more measurable parameters and one or more conditions of the subject's body. The processor utility is configured and operable for processing the image data to determine one or more corresponding body conditions; and generating output data indicative of the corresponding body conditions.

In some embodiments of the present disclosure, a system for processing three-dimensional face scan data is provided. A three-dimensional scanner produces an image of a face including an area of interest that includes an eyebag area. A profile of the eyebag area is determined by the system. In some embodiments, the profile is determined based on a vertical slice at the center of the eyebag area. Profiles for multiple sets of scan data may be compared to determine quantitative differences between eyebag profiles. These differences may be used for quantitatively comparing the effects of products applied to the eyebag area between scans. These differences may also be used for predictively generating three-dimensional models to illustrate predicted effects of the use of a product on a face.

A device for measuring the elastic deformability of soft tissue has a probe head having the form of a cup with a cavity, side walls and a bottom wall, a first probe channel, a pressure unit and a control unit, the first probe channel being configured to connect the pressure unit, that provides a vacuum inside first probe channel and that is controlled by the control unit with the probe head. The first probe channel has a distal end leading through the bottom wall into the cavity. The device further has a second probe channel having a distal end leading through the bottom wall into the cavity and being connected with a pressure sensor provided to determine the pressure in the cavity and to communicate it to the control unit to determine a point in time, when deformed tissue closes the distal end of the first probe channel based on a pressure difference in the two probe channels.

Provided are a physiological signal analysis device and method to detect and analyze physiological information of a subject. The physiological signal analysis device includes a memory device configure to store a wrinkle pattern at a measurement position of a subject as a reference position; a sensor configured to sense the reference position and a physiological signal of the subject at the reference position in response to the stored reference position being within a range of the sensor; and a signal processor configured to process the physiological signal sensed the sensor.

Systems, methods, apparatuses, and medical devices for harmonizing data from a plurality of non-invasive sensors are described. A physiological parameter can be determined by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites. Data from one or more first non-invasive sensors can be utilized to identify one or more variables that are useful in one or more calculations associated with data from one or more second non-invasive sensors. Data from one or more first non-invasive sensors can be utilized to calibrate one or more second non-invasive sensors. Non-invasive sensors can include, but are not limited to, an optical coherence tomography (OCT) sensor, a bio-impedance sensor, a tissue dielectric constant sensor, a plethysmograph sensor, or a Raman spectrometer.

A method of processing optical coherence tomography (OCT) scans through a subject's skin, the method comprising: receiving at least a plurality of OCT scans through the subject's skin (7), each scan representing an OCT signal in a slice through the subject's skin (7), with the plurality of OCT scans being spaced apart such that the OCT scans represent the OCT signal through a volume through the subject's skin; processing each OCT scan using a processor so as to so as to detect at least one three dimensional structure in the skin; classifying, using a processor, the structure as belonging to a class of a plurality of classes of structures; and outputting at least one of the structure and the class.