Systems and associated methods are provided for monitoring a user while operating a computing device and providing active feedback to said user regarding health and safety best practices associated with operating said computing device. The methods comprise obtaining user biometric data; converting said biometric data into actionable instances of health and safety user device operation use cases; and interacting with the user based on said actionable instances in order to improve or remedy any deviations from recommended health and safety user device operation practices.

According to the present disclosure, a drunk driving prevention system including: an alcohol detection unit configured to detect a driver's inebriation through the breath test device provided in a vehicle; a computation unit configured, when the driver is detected to be in a drunk state by the alcohol detection unit, to compute a driving-possible time at which the drunk state is resolved in the future so that driving is possible; and a notification unit configured to output the driving-possible time or whether or not driving is possible through an infotainment system of the vehicle or a driver's terminal is disclosed.

A photonic integrated device comprising: a photonic integrated chip (PIC) adapted to investigate blood flow at a portion of tissue of a user, said PIC comprising: a laser having an optical output, or waveguide for guiding an optical output from an external laser, the optical output being split into a first optical component and a second optical component; wherein the first optical component is arranged to be transmitted to and generate speckle at the portion of tissue of the user; the photonic integrated device further comprising: one or more detectors, each detector configured to receive the speckle generated by the first optical component at the portion of tissue; and one or more optical splitters optically coupling the second optical component to one or more respective input(s) of the one or more detectors; wherein the photonic integrated device is further adapted to measure interference at the one or more detectors between a sample arm formed by the first optical component and a reference arm formed by the second optical component.

A patient care method through artificial intelligence-based monitoring in accordance with one example of the present disclosure comprises steps of: obtaining image information relating a user by a first collecting portion, obtaining speech information relating to the user by a second collecting portion and obtaining biometrics information relating to the user by a third collecting portion (Step 1); representing at least a part of a plurality of information obtained from the first collecting portion, the second collecting portion and the third collecting portion, through a display portion of a user table (Step 2); determining health condition of the user, based on a part of the plurality of information obtained from the first collecting portion, the second collecting portion and the third collecting portion by a server (Step 3); controlling the display portion of the user table to represent a first information automatically generated based on the determined heath condition by the server (Step 4), wherein the first information is converted in real time based on user's feedback on the first information and represents a change in the determined health condition on the display portion.

Disclosed are a drunk driving prevention system and a method of controlling the system that includes a sensor module measuring a alcohol content in the exhaled breath of a driver during a breath-checking of the driver and a control module configured to check the intoxication state of the driver from the alcohol content measured by the sensor module to determine whether the breath-checking is complete and block an engine start when the breath-checking fails, wherein the control module includes a check unit displaying breath-checking guide information through a display unit and the check unit displays the breath-checking guide information based on an engine start input of the driver.

In a method for monitoring absorption of a transmitter output irradiated into a patient by a transmitter unit of a magnetic resonance device, absorption data is provided, which describes a patient-nonspecific, location-dependent absorption sensitivity of the transmitter output to be irradiated. The patient is positioned in an irradiation region of the magnetic resonance device, in which the irradiation of the transmitter output into the patient is to take place. An anatomy of the patient is detected in the irradiation region, and the absorption data is assigned to the anatomy of the patient. A magnetic resonance scan of the patient is then performed, wherein the transmitter output absorbed by the patient is monitored during the magnetic resonance scan based on the absorption data assigned to the anatomy of the patient.

Disclosed herein is a hair health assessment, treatment, and styling diagnosis and recommendation method and system. The techniques use science and technology in order to aid users in achieving optimal health and beauty of their hair. The present disclosure allows a user to provide hair samples, such as digital images of hair, that can be analyzed using Machine Learning (ML) and Artificial Intelligence (AI) technology to provide recommendations including hair health assessments, hair care regimes, hair care products, and hair care services in an accurate, efficient, and automated manner. The present disclosure may employ a digital image capture device, either stand alone device or an embedded camera of a mobile device or a microscopic attachment, in order to capture digital images of their hair at a smartphone camera magnification level from a selfie image or microscopic-level of magnification, as a hair sample to be analyzed by the system.

The present invention relates to a device (100) for determining a vital sign of a subject by use of PPG. The device comprises a processing unit (110) configured to obtain multiple first detection signals derived from electromagnetic radiation (90) from multiple measurement spots (30) on a skin region (12) of the subject illuminated by one or more illumination spots (20), wherein the electromagnetic radiation (90) enters the skin region (12) at the one or more illumination spots (20) and exits the skin region (12) at the multiple measurement spots (30). The processing unit (110) further obtains 3D image information (130) of the skin region (12) which allows determining the actual spot distance (15) between the measurements spots (30) and an illumination spot (20), respectively. This information can be used to interpret the PPG signal more precisely as without having the 3D image information only a projected distance can be determined if the skin surface is tilted. Additionally, this allows averaging PPG signals derived from a homogenous skin area to improve PPG signal strength and reduce noise. A system (500) comprising such a device and a corresponding method are further described.

There is provided a controller that performs: determining, based on information obtained from a sensor configured to detect a physical condition of a target person, which of a plurality of predetermined categories the physical condition of the target person falls into; and transmitting a notification corresponding to the physical condition of the target person to a terminal of a notification destination that corresponds to a category into which the physical condition of the target person is determined to fall, wherein terminals of notification destinations are set for the plurality of categories, respectively.

There is shown and described a deep learning based system and method for skin diagnostics as well as testing metrics that show that such a deep learning based system outperforms human experts on the task of apparent skin diagnostics. Also shown and described is a system and method of monitoring a skin treatment regime using a deep learning based system and method for skin diagnostics.