An apparatus for estimating body temperature of an object is provided. The apparatus for estimating body temperature includes: a sensor configured to obtain spectra through a plurality of light paths of an object; and a processor configured to obtain a temperature slope between temperatures corresponding to the plurality of light paths based on the spectra of the plurality of light paths and a reference spectrum measured at a reference temperature, and estimate the body temperature of the object based on the temperature slope.

A skin state is readily obtained. A method according to one embodiment of the present invention includes identifying a nasal feature of a user; and estimating a skin state of the user based on the nasal feature of the user.

A mechanical measuring device includes a body case, a probe 10 extending from the body case and abutting against a predetermined portion of a biological soft tissue, a load measuring means 12 which is integrally connected to the probe 10 and which measures a load applied to the biological soft tissue by the probe 10, a moving means 14 for moving the probe 10 at a constant speed, and a distance measuring means 20 for measuring a moving distance by the moving means 14, and in a measuring operation of the biological soft tissue such as muscle and cartilage, the load applied to the biological soft tissue and the moving distance of the probe 10 are simultaneously measured in a state where the probe 10 is moved at a constant speed, thereby realizing inspection and diagnose of a mechanical state of the biological soft tissue.

A system for quantifying risk associated with preclinical indicators of one or more clinical skin conditions, the system is formed of a plurality of measurement tools in connection with a processor, the measurement tools configured to various pre-clinical indicators of the skin health of a subject' hand, where the processor is configured to calculate a score based on the combined data from the plurality of measurement tools, this score being representative of the subject's risk of future development of one or more clinical skin conditions.

As an IV infiltration occurs and fluid leaks into surrounding tissues, several physiological changes are expected locally. The systems and methods described herein provide a scalable automated IV infiltration detection device to provide medical staff an early warning of a possible infiltration such that they can respond accordingly. The systems and methods capture the physiological state of the user at or around a peripheral catheter insertion site by incorporating one or more modalities of wearable sensing, processing the data collected from these wearable sensors, detecting the presence of extravascular fluid, and providing an indication to a medical professional.

An apparatus for non-invasively measuring bio-information is provided. The apparatus for estimating bio-information may include a pulse wave sensor configured to measure a pulse wave signal from an object; a sensor position sensor configured to obtain sensor position information of the pulse wave sensor with respect to the object, based on the object being in contact with the pulse wave sensor; and a processor configured to estimate the bio-information based on blood vessel position information of the object, the sensor position information, and the pulse wave signal.

There is a skin analysis device for attachment to an electronic device of a human user, the electronic device having at least one skin characteristic measurement device, the skin analysis device comprising an enclosure comprising an enclosure body, configured to be removably connected to the electronic device and one or more skin characteristic measurement assisters, connected to the enclosure and configured to assist one or more skin characteristic measurement devices take a skin characteristic sample of a skin characteristic of the human user.

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.

A skin detection device, including a processor and a texture recognition sensor, is disclosed. The texture recognition sensor is configured to detect surface texture of skin to be detected; and the processor is configured to determine surface smoothness of the skin to be detected according to the surface texture of the skin to be detected. The skin detection device can independently perform the health detection of the skin to be detected. A product information determination method, a product information determination device and a product information determination system are further disclosed.

Computer-implemented method for determining a tension value of a limb of a person, the tension value of the limb being used along with a skin value of the limb for production of a custom-tailored compression garment for the limb, the skin value describing the circumference of the limb without any applied compression and the tension value describing the circumference of the limb with the compression garment applying a desired compression, wherein the skin value of the limb is received and the tension value of the limb is calculated from the skin value according to a calculation instruction parametrized by at least one parameter, the parameter being derived from a dataset comprising multiple associated tuples of skin values and tension values.