A portable healthcare system installed at a remote location having limited internet connectivity, the system comprising the following features: a camera configured to receive images/video of a patient, a point-of-care testing having medical devices configured to: receive samples from a body of the patient, determine parameters based on information from the samples, a pills dispenser, configured to dispense pills, a memory unit configured to store machine-readable instructions, and a processing unit operably connected with the memory unit, the processing unit obtaining the machine-readable instructions from the memory unit, and being configured by the machine-readable instructions to: run facial recognition based on the captured image of the patient and identify the patient, compare the determined parameters with predefined parameters, determine a health related information of the human body based on the comparison, and determine a medical condition of the patient, based on the health related information, connect a health professional, located at a distant location, through a augmented reality (AR) lens with the patient, record conversation between the patient and the health professional, and instruct the pills dispenser to dispense the pills, a communication means configured to establish a communication network which is configured to send the health related information, and the medical condition to user devices held by the patient, and/or health organizations, a user interface, configured to display the virtual health professional and facilitate interactive communication between the virtual health professional and the patient.

The present disclosure relates to a vibration generating apparatus for a vehicle including a state analysis device that generates analysis information based on the state information, a vibration signal modeling information generation device that generates vibration signal modeling information for the vibration of the vehicle based on the generated analysis information, and a vibration signal generation device that generates a vibration signal based on the generated vibration signal modeling information and driving information of the vehicle.

An electronic device and a control method therefor are disclosed. A control method for an electronic device according to the present disclosure comprises the steps of: when a preset event is detected, acquiring a user image by photographing a user; acquiring a facial image including the user's face from the photographed user image and storing the facial image; and when a user input for identification of the facial image is received, providing the stored facial on the basis of at least one of a time and a place.

Cognitive enablement can include detecting sensor-generated signals received from one or more network-configured sensors, the sensor-generated signals corresponding to physical movement of an audience member during a presentation by a presenter. The sensor-generated signals can be converted to vectorized data structures for inputting to a classification model generated with machine learning. The physical movement can be classified as a prelude to a likely audience interaction, the classifying performed by the classification model based on the vectorized data structures. In response to the classifying, an audience member attribute associated with the audience member can be determined. An audience interaction can be predicted based on the audience member attribute using a prediction model generated with machine learning. A predictive alert corresponding to the predicted audience interaction can be generated. During the presentation, a user interface for displaying the predictive alert to the presenter can be generated using an electronic device.

An information processing method includes: obtaining first image data indicating an image of at least one portion of a face of a target person from a camera connected to or built into a first computer; obtaining cerebral blood flow information indicating a state of cerebral blood flow of the target person from a detector that is connected to or built into the first computer and that detects the cerebral blood flow information; and displaying, on a display connected to or built into a second computer connected to the first computer through a remote network, an output image including a first image based on the first image data and a second image based on the cerebral blood flow information. The first image is a moving image including the at least one portion of the face, and the second image indicates changes over time in the cerebral blood flow information.

A method of and system are disclosed for detecting various gestures by an imaging device and executing a task assigned to these gestures. For instance, the task could include a number of smart home functions, as well as various text and other communication transmissions. The imaging device, which can be a digital camera, is wirelessly communicable with one or more base stations and/or access points over a wireless local area network. The imaging device transmits images and/or videos, which can be reviewed by a computer vision program (“CV”). CV can identify potential gestures in the images and/or videos and compare any such images and/or videos to a database of known gestures. When a gesture is detected, a corresponding task, such as a smart home action, may be executed. Additionally, CV may use facial recognition to first identify an individual, and then execute a task specific to the identified individual based on a detected gesture.

Techniques are described for identifying and/or authenticating entities using a combination of independent identification technologies and/or platforms. In one embodiment, a system can comprising a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory.

The computer executable components can comprise a reception component that receives, from an entity, a request to authorize the entity based on image data of a person, wherein the request comprises the image data, and an authentication component that determines whether the person included in the image data corresponds to the entity.

A sales data processing system includes a registration unit configured to register information of a commodity specified by information acquired by a mobile terminal as sales data, a state recognition unit configured to recognize a state of an operator of the mobile terminal based on the information acquired by the mobile terminal, in parallel with a process by the registration unit, a determination unit configured to determine whether support from a clerk is required, based on the state of the operator recognized by the state recognition unit, and a request output unit configured to output information for requesting support for the operator to a clerk terminal operated by the clerk, if the determination unit determines that the support from the clerk is required.

A system and method for providing audience feedback to a presenter. The system includes a content delivery application configured to provide electronic content to a plurality of users in real-time. An engagement recognizer determines a relative engagement of each of the plurality of users during a presentation delivered by the content delivery application by for example, identifying actions or emotions being shown by the audience members. A feedback analyzer converts the relative engagement of each of the plurality of users into at least one feedback score indicative of the relative engagement of the plurality of users. A display component displays the at least one feedback score as a visual representation of the at least one feedback score so that the presenter can easily see the relative engagement of the audience.

A method of controlling a user interface using an input image is provided. The method includes storing operation executing information of each of one or more gesture forms according to each of a plurality of functions, detecting a gesture form from the input image, and identifying the operation executing information mapped on the detected gesture form to execute an operation according to a function which is currently operated.