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 modular sensing assembly may be used to detect user inputs at an electronic device. Example user inputs include touch inputs, fingerprint inputs, translational inputs, audio inputs, biometric inputs, and the like. Inputs received using the modular sensing assembly may be used to control a graphical output of a display of the electronic device. A modular sensing assembly may be configured, for example, as a power button, a key of a keyboard, a control button (e.g., volume control), a home button, a watch crown, and so on.

An artificial intelligence (AI) robot includes a body for defining an exterior appearance and containing a medicine to be discharged according to a medication schedule, a support, an image capture unit for capturing an image within a traveling zone to create image information, and a controller for discharging the medicine to a user according to the medication schedule, reading image data of the user to determine whether the user has taken the medicine, and reading image data and biometric data of the user after the medicine-taking to determine whether there is abnormality in the user. The AI robot identifies a user and discharges a medicine matched with the user, so as to prevent errors. The AI robot detects a user's reaction after medicine-taking through a sensor, and performs deep learning, etc. to learn the user's reaction, to determine an emergency situation, etc. and cope with a result of the determination.

Systems and methods for enhancing infection detection and monitoring through decomposed physiological data are disclosed. An example method includes receiving, from a wearable device of a user, physiological data of the user and decomposing the physiological data, by applying a heart rate algorithm, to generate one or more physiological parameters. The example method further includes analyzing, by applying the heart rate algorithm, the one or more physiological parameters to output a period classification, and determining whether or not the period classification is indicative of an infection. The example method further includes, responsive to determining that the period classification is indicative of the infection, displaying, in a user interface, a warning to the user that indicates the infection, and receiving, from the wearable device of the user, additional physiological data of the user to monitor the infection.

The present invention is related to a biological data sensor for measuring biological data from a user. The biological data sensor comprises a sensing module and a wearable charging module. The sensing module is formed by flexible printed circuit (FPC) and attached to the user's skin. The sensing module includes light emitting units, at least one sensing unit, and a rechargeable battery. The light emitting unit emits a first sensing light onto the user's skin. The first sensing light is transmitted onto the user's skin and reflected from the user's skin as a second detecting light. The sensing unit receives the second sensing light and outputs the biological data. The rechargeable battery is electrically connected to the light emitting units and the sensing unit, and the rechargeable battery provides power to the light emitting units and the sensing unit. The wearable charging module is worn on a part of the user adjacent to the sensing module. The wearable charging module includes a charger and a first transmitter. The first transmitter is electrically connected to the charger, obtains power from the charger, wirelessly transmits the power to the rechargeable battery of the sensing module, and receives the biological data from the sensing module.

The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.

Sensing devices including sensors such as flexible and stretchable fabric-based pressure sensors, may be associated with or incorporated in garments, such as socks, intended to be worn against a body surface (directly or indirectly). Specific manifestations of a sensing system incorporated in a sock substrate are described in detail. Dedicated electronic devices interface electrically with sensors through intermediate conductive traces, optional conductive bridges, conductive contacts provided in a mounting tab.

Embodiments of the present invention disclose a method for detecting a wearable device, and the wearable device, where the method includes: detecting a value of a distance between the wearable device and a user; determining whether the value of the distance between the wearable device and the user exceeds a preset distance threshold; if the value of the distance between the wearable device and the user does not exceed the preset distance threshold, detecting a body feature value of the user within a preset time period; and if the body feature value of the user does not exceed a preset threshold range of the body feature value of the user, determining that the user has worn the wearable device.

A measurement apparatus includes a wearing portion to be worn by a subject and at least one sensor supported by the wearing portion and configured to acquire biological information of the subject while in contact with a measured part of the subject. The sensor contacts the measured part at a predetermined pressure or less while the wearing portion is worn by the subject.

A system and method is provided for transmitting signals ultrasonically among a network of implantable and wearable biological devices. The devices includes one or more implantable nodes, which include a sensing and/or actuating unit, at least one gateway node, and at least one access point node. Ultrasonic signals can be transmitted through the body by the implantable nodes to and from the gateway node, for transmission to and from the access point node. The access point node can be connected to the Internet. In this manner, remote instructions can be transmitted to the implantable nodes and data obtained at the implantable nodes can be transmitted to remote sites.