A monitoring system for monitoring the wellbeing of a user, the system comprising: one or more hand portable sensor devices each comprising at least one sensor for forming sensed data by sensing an activity characteristic of a user; and a processor configured to execute an algorithm in dependence on the sensed data to form an estimate of the wellbeing of the user; wherein at least one of the sensors is a camera and the processor is configured to analyse a video of the user captured by the camera to form the estimate of wellbeing.

In an evaluation information provision system, subject's motion data is stored in association with attributes. When an attribute is assigned, the evaluation information provision system selects feature data from a plurality of the subject's motion data associated with the assigned attribute. The evaluation information provision system calculates a score for the assigned attribute, for the user's motion, using a statistical distance between the selected feature data and the user's motion data. The calculated score is displayed, for example, as a screen.

A system is described to turn ordinary expression input into a complex full body animation in real time or from recordings analyzed over time.

This application relates to the field of electronic technologies, and provides an action recognition method and apparatus, a terminal device, and a motion monitoring system. Characteristic extraction and action recognition are performed based on motion data collected by data collection apparatuses; a gait characteristic, a swing gesture characteristic, and an image action characteristic of a user are recognized by using a plurality of pieces of motion data; and a type of a hitting action of a player is determined based on the gait characteristic, the swing gesture characteristic, and the image action characteristic. In this way, the hitting action of the player in a motion process can be accurately recognized. This is conducive to performing comprehensive analysis on a comprehensive sports capability of the player, and is more helpful to formulating a personalized training plan for the player.

An examination assisting apparatus capable of preventing an error in a registration operation performed by an user for associating photographed image data of an affected area of a patient with patient information. A user acquires patient information by reading a patient identifier and holds the same in a storage medium, and generates and stores photographed image data in association with the patient information stored in the storage medium. Walking information of a walk of the user is acquired. Notification to the user is performed based on the walking information. Photographing by an image capturing operation is stopped based on the walking information. The patient information is deleted from the storage medium based on an operation by the user in response to the notification. The notification is terminated in a case where the patient information is deleted from the storage medium.

A user directed verbal interactive method and system for requesting a evaluation and obtaining a customized verbal therapy routine based on the evaluation obtained. The method and system allow users to interact with an artificial intelligence agent by answering a series of system directed questions that guides the users through evaluation and treatment of physical pain using a customized verbal interaction and delivery regimen. Users verbally engage with the artificial intelligence agent to create respective profiles. The system develops therapies based on their current physiological state and profile. The users are then delivered verbal therapy prompts through the system to implement the developed therapy routines.

There is provided an information processing apparatus to detect various motions of a user and generate useful information utilizing the result, the information processing apparatus including: a motion detection unit configured to detect a series of motions of a user which are repetitive and nonperiodic; and an information generation unit configured to generate information related to the series of motions.

Example implementations include a method, apparatus and computer-readable medium for person detection by a computer device, comprising receiving a plurality of video frames from a camera located in an environment, wherein the video frames include a depiction of a person in the environment. The implementations further include identifying attributes of the person from the video frames and comparing the attributes with attribute entries in a database of suspicious persons, wherein the database of suspicious persons includes attributes of a plurality of persons associated with an alert in the environment. The implementations include retrieving a profile indicative of an alert history of the suspicious person in response to determining a match between the attributes of the person and an entry in the database corresponding to a suspicious person, and transmitting, to a second computer device, the retrieved profile and a notification that indicates that the suspicious person is in the environment.

In one embodiment, a method includes receiving, at a client system, an audio input, where the audio input comprises a coreference to a target object, accessing visual data from one or more camera associated with the client system, where the visual data comprises images portraying one or more objects, resolving the coreference to the target object from among the one or more objects, resoling the target object to a specific entity, and providing, at the client system, a response to the audio input, where the response comprises information about the specific entity.

The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.