An electronic device according to an aspect of the present disclosure includes a touch screen. The electronic device includes a communication interface that may receive, from a touch pen, a pulse wave signal of a user which is measured from a finger of the user by the touch pen while the touch pen is placed on the touch screen. The electronic device includes a processor that may determine whether a measurement posture of the user is appropriate based on whether the finger touches the touch screen, and in response to determining that the user's measurement posture is appropriate, estimate bio-information of the user based on the received pulse wave signal.

A method may include acquiring first physiological data relating to a first subject, extracting at least one first physiological feature from the first physiological data relating to the first subject, determining a first model relating to at least one first reference physiological feature, generating, based on the first model and the at least one first physiological feature, a second model, the second model relating to at least one second reference physiological feature corresponding to the second model, and determining, based on the second model and the at least one first physiological feature, at least one identification physiological feature relating to the first subject. In some embodiments, the at least one identification physiological feature may correspond to the at least one second reference physiological feature.

An apparatus for providing customized advertisements includes a database that stores a plurality of electronic advertisements, receives biometric information of a client from at least one biometric device of the client, and receives receptivity information of the client responding to the plurality of electronic advertisements, as well as a processor that accesses the database, and maps the biometric information and the receptivity information and analyzes the mapped information to generate customized marketing data. The processor also calculates a receptivity probability for each of the plurality of electronic advertisements based on the customized marketing data by using current biometric state of the client, selects an electronic advertisement from the plurality of electronic advertisements based on the calculated receptivity probabilities, and outputs to the client the selected electronic advertisement.

A contactless patient monitoring system includes a first imager configured to capture first image data of a target area within a first field of view. A second imager is operably coupled to the first imager. The second imager is configured to capture second image data of the target area within a second field of view. An emitter is operably coupled to at least one of the first imager and the second imager. The emitter is configured to emit light within a predetermined wavelength range. A controller is communicatively coupled to the first imager, the second imager, and the emitter. The controller is configured to determine a facial region of a person in the first image data, determine a region of interest in the second image data that coincides with the facial region in the first image data, and determine a coordinate of a head position within the facial region.

According to one embodiment, a biometric authentication device includes a resin substrate, an optical sensor and an illumination device. The resin substrate has flexibility. The optical sensor is disposed on the resin substrate. The illumination device is disposed on the resin substrate. The optical sensor and the illumination device are disposed on the resin substrate so as to face each other with a detection target interposed therebetween when the biometric authentication device is mounted on the detection target. The optical sensor detects light emitted from the illumination device and transmitted through the detection target.

The present disclosure discloses an intelligent pet calling device, including a collar detachably connected to the body or head of a pet, and a functional box detachably arranged on the collar; a wireless connection module and a voice device are arranged in the functional box; the functional box also includes a shell assembly, a control board, a battery, a button and a charging interface; the shell assembly is a hollow cavity; the control board, the voice device and the battery are respectively fixedly arranged in the shell assembly; the battery supplies electric energy to the control board and the voice device; the button and the charging interface are respectively arranged on the control box and penetrate through the shell assembly; the functional box also includes a heart rate monitoring device; and the functional box further includes a camera.

A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

A virtual content providing device includes: a communication circuit capable of communicating with a wearable device worn by a user; and a processor functionally connected to the communication circuit. The processor is configured to: display virtual training content on the wearable device through the communication circuit; generate training situation information and user condition information associated with the virtual training content through the wearable device; determine a intervention time point for the virtual training content based on the training situation information and the user condition information; generate virtual intervention content associated with the intervention time point; and display the virtual intervention content in synchronization with the virtual training content through the wearable device.

A method of authentication of a user is provided. The method comprises capturing a brain activity signal from a user; comparing the brain activity signal with reference data; and determining, based at least in part on the comparison, whether the identity of the user can be confirmed. Also provided is a computing device comprising at least one processor and at least one memory. The computing device is adapted to: communicate with a brain activity sensing system to capture a brain activity signal from the user; provide the captured brain activity signal to an authentication service computing system; and authenticate the user based at least in part on the result of a comparison with reference data received from the authentication service computing system. A system comprising the computing device and a brain activity sensing system, and am authentication service computing device are also provided.

An apparatus for providing customized advertisements includes a database that stores a plurality of electronic advertisements, receives biometric information of a client from at least one biometric device of the client, and receives receptivity information of the client responding to the plurality of electronic advertisements, as well as a processor that accesses the database, and maps the biometric information and the receptivity information and analyzes the mapped information to generate customized marketing data. The processor also calculates a receptivity probability for each of the plurality of electronic advertisements based on the customized marketing data by using current biometric state of the client, selects an electronic advertisement from the plurality of electronic advertisements based on the calculated receptivity probabilities, and outputs to the client the selected electronic advertisement.