The present technology relates to a control device and a control method capable of performing authentication with higher safety using brain information.

Provided is a control device including a processing unit configured to perform control of a first authentication process of authenticating a user on the basis of first registration information based on first brain information of the user measured in response to a replay of a first induction medium, and control of a registration process of a second registration information used for a second authentication process of authenticating the user on the basis of second brain information of the user measured in response to a replay of a second induction medium different from the first induction medium. For example, the present technology can be applied to a measurement device capable of measuring brain information.

An embodiment of the present disclosure discloses a device including a housing and a biometric sensor, the biometric sensor is configured to sense whether a first part of a human body is in contact with a first electrode and a second electrode, detect whether a second part of the human body is in contact with a third electrode and a fourth electrode, obtain phase information of the impedance of the human body by using the first, second, third and fourth electrodes, determine whether the acquired phase information of the impedance is within a designated range, and provide a guide for a measurement method when the acquired phase information of the impedance deviates from the designated range. Various other embodiments identified through the specification are possible.

Provided herein is a system for measuring and analyzing skin and hair, which includes a skin and hair measurement and analysis device, a smart terminal of a user in which an application interlinked with the skin and hair measurement and analysis device is installed, and a server interlinked with the skin and hair measurement and analysis device and interlinked with the smart terminal.

An apparatus for estimating bio-information may include an optical sensor comprising a light emitter disposed on a substrate, and a plurality of light receiving groups which are arranged on a plurality of concentric circles on the substrate, at different distances from the light emitter, respectively, and a processor configured to drive one of the plurality of light receiving groups that is selected based on a type of the bio-information to be estimated, and estimate the bio-information of an object based on optical signals detected by the driven light receiving group

An unobtrusive ambulatory wearable biosensor device, system, and method continuously monitors blood oxygen saturation of a patient in their free-living conditions. The wearable biosensor system may include a finger sensor device, wrist module device, relay device, and wearable sensor patch.

An apparatus for estimating a glucose exposure may include: a spectrometer configured to measure a plurality of Raman spectra from an object; and a processor configured to extract depth-specific protein information from the plurality of Raman spectra and estimate the glucose exposure of the object based on the depth-specific protein information.

An analyte sensor system is provided. The system includes a base configured to attach to a skin of a host. The base includes an analyte sensor configured to generate a sensor signal indicative of an analyte concentration level of the host, a battery, and a first plurality of contacts. The system includes a sensor electronics module configured to releasably couple to the base. The sensor electronics module includes a second plurality of contacts, each configured to make electrical contact with a respective one of the first plurality of contacts, and a wireless transceiver configured to transmit a wireless signal based at least in part on the sensor signal. The system includes a first sealing member configured to provide a seal around the first and second plurality of contacts within a first cavity. Related analyte sensor systems, analyte sensor base assemblies and methods are also provided.

Methods, computer systems, and computer readable media are provided for promoting positive activity patterns for users and facilitate long-term adherence to the activity patterns, such as by providing alerts or electronic reminders to ambulate in a fashion that is responsive to an individual's actual activity patterns and behaviors and compatible with routine activities in the workplace and home. In particular, embodiments of the present invention are directed to measuring physical activity patterns during the waking hours of a human, and in some embodiments continuously measuring these activity patterns; automatically ascertaining whether the patterns exhibit sufficient frequency and variability of activity such as confers certain health benefits; and if the patterns do not manifest such features, to adaptively provide sensible reminders at irregular within-day intervals such as are likely to establish healthy patterns of ambulation and other light activity.

An apparatus for calibrating a bio-information estimation model is provided. The apparatus for calibrating a bio-information estimation model includes: a data obtainer configured to obtain at least one pulse wave signal; and a processor configured to extract a plurality of feature sets, each feature set including one or more features, from each of the at least one pulse wave signal, and configured to calibrate a bio-information estimation model based on a correlation distribution of the extracted plurality of feature sets.

Embodiments of the present disclosure provide systems and methods for performing stroke detection with machine learning (ML) systems. The method performed by a computer system includes accessing a video of a user. The method includes performing a first test on the accessed video for detecting a facial drooping factor and speech slur factor of the user in real-time. The facial drooping factor is detected with facilitation of one or more techniques. The speech slur factor is detected with execution of machine learning algorithms. The method includes performing a second test on the user for detecting a numbness factor in hands of the user. The method includes processing the facial drooping factor, the speech slur factor, and the numbness factor for detecting symptoms of stroke in the user in real-time. The method includes sending notification to at least one emergency contact of the user in real-time for providing medical assistance.