An image data processing device and an image data processing system are provided. An image data processing device performs a process of inputting a plurality of image data items in which imaging ranges at least partially overlap, detecting a face of a person in an image indicated by the image data, and recognizing a personal attribute of the person on the basis of the detected face for each of the image data items, a process of generating map data, in which the recognized personal attribute has been recorded in association with a position of the person in the image indicated by the image data, for each of the image data items, a process of interpolating the personal attribute of the person who overlaps between a plurality of the map data items, and a process of combining the plurality of map data items after the interpolation to generate composite map data.

A non-transitory computer-readable recording medium stores a determination program for causing a computer to execute processing including: acquiring a group of captured images that include a face to which markers are attached; calculating a first vector based on positions of the markers included in the captured images; dividing the first vector into a second vector according to a determination direction of a first action unit associated with the markers and a third vector according to a determination direction of a second action unit associated with the markers; and determining first occurrence intensity of the first action unit and second occurrence intensity of the second action unit based on the second vector and the third vector.

A system and method to index one or more sensor-based datasets utilizing pattern recognition and prediction to identify instances and regions of novelty and change as a means of highlighting potential subjective interest for the purposes of optimizing the manual and automated search, visualization, and extraction of datasets.

A method and system for remote diagnosis of a congestive heart failure in humans is presented. The method includes receiving a facial image of a patient, wherein the facial image is retrieved from a data store and captured from the patient; extracting, from the facial image, at least one facial feature indicative of a heart condition; classifying the extracted at least one facial feature using a classifier, wherein the classifier maps a plurality of candidate facial features to a plurality of scores indicating a stage of the heart condition; and determining a positive diagnosis and the stage of the heart condition of the patient based on the plurality of scores.

Provided is an information processing apparatus that performs human emotion recognition using artificial intelligence.

The information processing apparatus includes: a preprocessing unit that determines whether or not to permit provision of a service based on emotion recognition on the basis of a predetermined criterion; an emotion estimation processing unit that performs the emotion recognition for a user by using an artificial intelligence function; and a service providing processing unit that provides a service based on an emotion recognition result by the emotion estimation processing unit, in which, when the preprocessing unit determines to permit the provision of the service, the emotion estimation processing unit performs the emotion recognition or the service providing processing unit provides the service.

A system and method for tracking multifunction peripheral device user satisfaction captures user images and audio during device operation. User characteristics such as gestures, posture, spoke words or facial expressions are used in conjunction with device status information to determine whether the user is satisfied with the device. If not, remedial action is initiated, such as launching a virtual assistant on the multifunction peripheral touchscreen or summoning of a human assistant.

A method for training one or more AI models for generating audio scores accompanying visual datasets includes obtaining training data comprising a plurality of audiovisual datasets and analyzing each of the plurality of audiovisual datasets to extract multiple visual features, textual features, and audio features. The method also includes correlating the multiple visual features and textual features with the multiple audio features via a machine learning network. Based on the correlations between the visual features, textual features, and audio features, one or more AI models are trained for composing one or more audio scores for accompanying a given dataset.

Vehicle cognitive data is collected using multiple devices. A user interacts with various pieces of technology to perform numerous tasks and activities. Reactions can be observed and cognitive states inferred from reactions to the tasks and activities. A first computing device within a vehicle obtains cognitive state data which is collected on an occupant of the vehicle from multiple sources, wherein the multiple sources include at least two sources of facial image data. At least one face in the facial image data is partially occluded. A second computing device generates analysis of the cognitive state data which is collected from the multiple sources. A third computing device renders an output which is based on the analysis of the cognitive state data. The partial occluding includes a time basis of occluding. The partial occluding includes an image basis of occluding. The cognitive state data from multiple sources is tagged.

Introduced here are technologies for examining an image of an airline passenger, while the passenger is onboard. The image may be examined for abnormalities, the passenger's mood, and/or the passenger's expression. The image analysis may be supplemented by data from a suite of sensors such as heart rate monitors, accelerometers, gyroscopes, and the like. The image and the sensor data are then analyzed to detect abnormalities, identify related recommendations, and suggest products and services offered onboard or at the destination that are related to the abnormalities and recommendations. The general purpose is to improve an airline passenger's travel experience while on board the flight.

Systems and methods are operable to present a sporting event on a display based on a determined level of viewer engagement and a determined team preference of the viewer. An exemplary embodiment presents a neutral viewpoint video content segment on the display during the first period of game play when the viewer has a neutral team preference, alternatively presents a first team alternative video content segment on the display during the first period of game play when the viewer has a preference for the first team, or alternatively presents a second team alternative video content segment on the display during the first period of game play when the viewer has a preference for the second team.