A method for monitoring a health parameter in a person is disclosed. The method involves transmitting radio waves below the skin surface of a person and across a range of stepped frequencies, receiving radio waves on a two-dimensional array of receive antennas, the received radio waves including a reflected portion of the transmitted radio waves across the range of stepped frequencies, generating data that corresponds to the received radio waves, wherein the data includes amplitude and phase data, deriving data from at least one of the amplitude and phase data, and determining a value that is indicative of a health parameter in the person in response to the derived data.

Embodiments disclosed herein relate to devices and methods for monitoring one or more physiological parameters of a subject. In an embodiment, a wearable device comprises a substrate configured to attached to a subject's skin. The substrate comprises a middle portion arranged between two end portions, wherein the middle portion is more flexible than at least one of the end portions. The wearable device also comprises a physiological sensor arranged on the middle portion. The physiological sensor is configured to sense a physiological signal of the subject when the wearable device is attached to the subject's skin. And, the wearable device comprises one or more electrical components arranged on at least one of the end portions, wherein at least one of the one or more electrical components is coupled to the physiological sensor.

There is provided a method of motion tracking comprising arranging one or more active marker devices on an object, the active marker devices being configured to emit light and each having an associated temporally repeating pattern comprising a plurality of time frames, controlling the one or more active marker devices to emit light according to their respective temporally repeating patterns, wherein the temporally repeating patterns are such that the active marker device does not emit light during at least one time frame of the plurality of time frames, detecting light emitted by the one or more active marker devices using one or more cameras, and determining a spatial configuration of the object using the light detected by the one or more cameras.

A detection device that includes an extraction unit that extracts waveform data based on a gait of a walker using sensor data acquired from a sensor installed on a foot of the walker and a detection unit that detects a gait event from the waveform data extracted by the extraction unit.

A first value for each of a plurality of parameters is received, each of the first values being associated with a user and a first day. A second value for each of the plurality of parameters is received, each of the second values being associated with the user and a second day that is subsequent to the first day. For each of the plurality of parameters, a trend indication is determined, the trend indication being based on the first values, the second values, and a first time period. A base weight value for each of the plurality of parameters is determined, the base weight value being based on the first time period and the determined trend indication associated with the one of the plurality of parameters. A mood score is determined, based on the base weight value for each of the plurality of parameters.

An estimation device that includes an extraction unit that acquires sensor data from a sensor installed on footwear and extracts a gait feature quantity characteristic of walking in the footwear by using the sensor data, and an estimation unit that estimates a type of the footwear based on the gait feature quantity extracted by the extraction unit.

A walking support system includes: an information output device (260); a motion detector (220) which detects a motion of a user; a foot landing position detector (230) which detect a foot landing position of the user; a determiner (240) which determines a recommended foot landing position which is a landing position of the feet suitable for stabilizing motions of a gait of the user on the basis of motions of a gait of the user detected by the motion detector, the foot landing position detected by the foot landing position detector, and dynamics; and an output controller (250) which outputs information indicating the recommended foot landing position determined by the determiner to the information output device.

Systems, methods and computer readable media comprising a virtual exercise board, which is represented by images on the screen of a pad device; wearable devices configured to attach to each shoe of a user and to collect and transmit touch data to the pad device; cameras for tracking movement and calibrating with the data collected by the wearable devices; and computer programs for collecting user data, processing user data, and generating outputs. In embodiments, features include augmented reality; ratings of performance; automated workouts/protocols; real-time progress bar; multi-location database capabilities; and reports.

The invention relates to a system for acquiring the vital status of animals, which comprises at least one first device for acquiring vital functions, and at least one signal transmission means, wherein the first device has at least two first and/or second sensors arranged at a distance from each other. The components of the system for acquiring the vital status of animals can be detachably connected with each other by connectors.

The invention further relates to a method for determining the vital status of animals, wherein the vital functions are acquired by a first device with at least two first and/or second sensors arranged at a distance from each other, wherein the acquired data are transmitted by at least one signal transmission means to a data processing device, and there processed and evaluated, and from the data processing device to an external output device, which outputs the vital status of animals.

Systems and methods for predicting exposure to an agent. One or more features are extracted from physiological data. For each respective classifier, (i) the respective classifier is identified, wherein the respective classifier is trained using training data for a respective physiological state, (ii) the respective classifier is applied to the one or more features to obtain a classifier output that represents a likelihood of exposure, (iii) a respective first threshold is applied to the classifier output to determine a patient state classification, and (iv) the patient state classifications are aggregated across a number of time intervals to obtain an aggregate patient state classification for each classifier. The aggregate patient state classifications are combined across the plurality of classifiers to obtain a combined classification, and an indication that the patient has been exposed to the agent is provided when the combined classification exceeds a second threshold.