A system for analysis of user gait and foot disorder intended to minimize risks ulceration and limb amputation associated with the uncontrolled increase of the foot temperature in persons with diabetes. This system comprises a motion, force and temperature sensors and a processing element configured to process motion algorithms, measure ground reaction force (GRF) and changes in foot temperature embedded in the footwear insoles in communication with a smartphone based analysis application using wireless radio interface. The analysis application processes data received from the footwear sensors, compares the results with set of criteria and rules, and if any of the predefined criteria is exceeded, provides alerts to the user and the remote medical supervisor. Additionally, the insoles may be equipped with a haptic actuators configured to determine the level of the user neuropathy by measuring vibration perception threshold (VPT) level.

This document discusses a computer-implemented method of machine recognition of a physiological condition of a subject. The computer-implemented method comprises obtaining a video stream of the subject using a video data source; identifying, using processing circuitry, one or more areas within image frames of the video stream that contain a physiological feature of the subject; analyzing video data of the identified one or more areas in the image frames using the processing circuitry to detect change of the physiological feature between a first frame of video data and a later frame of video data; determining one or more change parameters of the physiological feature from the video data; and generating an indication of a symptom of Parkinson's Disease according to a detection criterion applied to the one or more change parameters.

Apparatuses, systems, and techniques to perform action recognition. In at least one embodiment, action recognition is performed using one or more neural networks and hardware accelerators, in which the one or more neural networks are processed based on, for example, one or more quantization and pruning processes.

The disclosure is related configuring a vehicle according to a user profile, where an individual user profile can be selected from a registry containing one or more user profiles using electroencephalogram (EEG). An additional biometric, such as gait, can also be used. The user profiles can include a variety of the user preferences, such as the preferred climate, seat settings, mode of payment, route to take, and more. A mobile device can also be used to add a layer of security and privacy, where the mobile device has sole access to the user's user profile.

The present invention relates to methods for analyzing gait of a subject. In particular, the present invention relates to a method for analyzing gait of a subject, said method comprising: providing data representing the 3D-movement of a foot of said subject over time; identifying within said data first data segments that each represent of at least one stride; determining one or more stride features for each of said first data segments; and defining one or more clusters on the basis of at least one stride feature of said one or more stride features. Each of the defined clusters represents a class of strides, e.g. a class may represent the typical stride of a subject. The present invention also provides for corresponding systems that are configured to perform the methods of the present invention and the use of these systems for analyzing in assessing gait of a subject, preferably a subject suffering from a movement-impairment.

A method for transferring a gait pattern of a first user to a second user to simulate augmented reality content in a virtual simulation environment is described. In one aspect, the method includes identifying a gait pattern of a first user operating a first visual tracking system in a first physical environment, identifying a trajectory from a second visual tracking system operated by a second user in a second physical environment, the trajectory based on poses of the second visual tracking system over time, modifying the trajectory from the second visual tracking system based on the gait pattern of the first user, applying the modified trajectory in a plurality of virtual environments, and generating simulated ground truth data based on the modified trajectory in the plurality of virtual environments.

There is provided an information processing device, an information processing method, and a program capable of accurately identifying a person imaged in a captured image. The information processing device includes a control unit configured to perform control for associating a person imaged in a captured image with a user of an information processing terminal based on a check between movement information acquired from information detected by the information processing terminal carried by the user and movement information of one or more persons acquired from the captured image and a check between state information of the user acquired from the information processing terminal and state information of the one or more persons acquired from the captured image.

An authentication control device according to the present disclosure is provided with an image acquisition means for acquiring an image including an authentication object person walking in the monitoring area photographed by a camera for photographing the monitoring area, an authentication control means for causing an authentication device for performing face authentication to perform face authentication of the authentication object person included in the image acquired by the image acquisition means, a projection area specification means for specifying a projection area in which the result of the face authentication is projected, and a projection control means for causing the projection device to project the result of the face authentication on the projection area specified by the projection area specification means.

Provided are a method of verifying a target person, the method comprises collecting non-identifying personal data for a target person, determining a classification type for each of a plurality of classification criteria from the collected non-identifying personal data and performing verification based on a result of comparing the determined classification type for each of the plurality of classification criteria with a reference type for each of the plurality of classification criteria.

A computer implemented method includes recording data representative of a user experience sensed by a mixed reality device during a mixed reality experience of a user in a space, processing the recorded data to infer one or more actions performed by the user in the space during the mixed reality experience, and creating an augmented replay of the mixed reality experience based on the recorded data and inferred actions performed by the user during the mixed reality experience.