Embodiments herein relate to ear-wearable systems and devices that can detect allergic reactions. In an embodiment, an ear-wearable device is included having a control circuit, a microphone, and a sensor package. The ear-wearable device can be configured to evaluate at least one of signals from the microphone, signals from the sensor package, signals from an external sensor, and contextual factor data, and detect an allergic reaction based on the evaluation. In an embodiment, an ear-wearable device system is included having a first ear-wearable device and a second ear-wearable device. In an embodiment, a method of predicting or detecting the onset or presence of an allergic reaction with an ear-wearable system is included. Other embodiments are also included herein.

A method for estimating a metabolic rate of a user includes obtaining pulse oximetry data for the user for a period of time. The method includes determining a rate of decline in oxygen saturation of blood of the user that is associated with a breathing rate of the user for the period of time based, at least in part, on the pulse oximetry data. The method includes estimating the metabolic rate of the user for the period of time based, at least in part, on the rate of decline in the oxygen saturation of the blood that is associated with the breathing rate of the user. The method includes providing a notification indicative of the metabolic rate for the period of time.

According to the present application, a computer-implemented method of predicting thyroid eye disease is disclosed. The method comprising: preparing a conjunctival hyperemia prediction model, a conjunctival edema prediction model, a lacrimal edema prediction model, an eyelid redness prediction model, and an eyelid edema prediction model, obtaining a facial image of an object, obtaining a first processed image and a second processed image from the facial image, wherein the first processed image is different from the second processed image, obtaining predicted values for each of a conjunctival hyperemia, a conjunctival edema and a lacrimal edema by applying the first processed image to the conjunctival hyperemia prediction model, the conjunctival edema prediction model, and the lacrimal edema prediction model, and obtaining predicted values for each of an eyelid redness and an eyelid edema by applying the second processed image to the eyelid redness prediction model and the eyelid edema prediction model.

Systems, methods, apparatuses, and computer program products for contactless image-based blood oxygen estimation. A method may include receiving an image or video of a part of a subject captured by a camera of a computing device. The method may also include extracting a region of interest of the part of the subject from the image or video. The method may further include performing feature extraction of the region of interest. In addition, the method may include estimating a blood oxygen saturation level of the subject based on a spatial and temporal data analysis of more than two color channels. Feature extraction and estimation of the blood oxygen saturation level may include implementing a combination of spatial averaging, color channel mixing, and temporal trend analysis.

A computer system obtains at least one 3D scan of a body surface; automatically identifies, based on the at least one 3D scan, one or more features (e.g., nose, lips, eyes, eyebrows, cheekbones, or specific portions thereof, or other features) of the body surface; and generates a digital 3D model of the body surface. The digital 3D model includes the identified features of the human body surface. In an embodiment, the step of generating of the digital 3D model is based on the at least one 3D scan and the identified features of the body surface. In an embodiment, the digital 3D model comprises a 3D mesh file. The digital 3D model can be used in various ways. For example, output of a manufacturing process (e.g., a 3D printed item, a cosmetics product, a personal care product) can be based on the digital 3D model.

A performance scanning system that operates to detect and measure surface parameters of a portion of an athlete and uses the surface parameters to determine the likelihood that the athlete's physical performance has been or will be impaired.

An industrial machine startup control system for controlling startup of an industrial machine, the industrial machine startup control system including: a vital data measurement device that measures vital data of a worker; a health state analysis device that acquires the vital data of the worker measured by the vital data measurement device, and that determines a health state of the worker based on the acquired vital data; and a startup control device that controls whether or not to allow startup of the industrial machine based on the determination result from the health state analysis device.

A request to execute a sequentially randomized controlled trial (sRCT) that relates to a subject regarding a population of humans is received. Datapoints from the population that are needed for the sRCT and factors that define the population as fitting the sRCT are identified. It is detected that a human within an interaction satisfies the factors and therefore is part of the population. During the interaction, the datapoints from the human that are needed for the sRCT are gathered in response to detecting that the human is part of the population, and treatment is randomly assigned if the interaction is also a treatment decision point.

The present disclosure relates to a method for determining a user-specific hair treatment with determination and inclusion of the degree of damage of the hair. To this end, the content of cysteic acid is firstly determined with the aid of near-infrared and/or infrared spectra of the keratin fibres of an individual and a degree of damage is derived via a calibration model. Individual treatment advice is output on the basis of the determined degree of damage.

Systems and methods for monitoring the status of a joint or limb using color sensing. First and second color sensors are provided to sense first and second color encoded surfaces at first and second locations of a joint or limb, respectively. The color sensing data are processed to obtain the respective motion information of the first and second locations.