An information processing apparatus includes: a first obtaining unit configured to obtain a first three-dimensional model expressing a position and a shape of a first object in a three-dimensional space based on images of the first object captured by a plurality of image-capturing devices at different locations; a second obtaining unit configured to obtain a second three-dimensional model expressing a position and a shape of a second object in the three-dimensional space; an identifying unit configured to identify a plurality of parts of the first object; a determining unit configured to determine a contact between a certain part of the first object and the second object based on the obtained first three-dimensional model and second three-dimensional model and an identification result of the plurality of parts; and an output unit configured to output information according to a determination result of the contact.

A system for tracking competitors conducting a race on a track includes multiple object-recognition devices positioned to recognize objects at predetermined locations along the track. The object-recognition devices are configured to recognize at least one physical feature of each of the competitors. A processing device is configured to determine a time at which a competitor reached a selected one of the predetermined locations during the race based on object-recognition data from at least one of the object-recognition devices. A transmitter is configured to transmit to an output device the time at which the competitor reached the selected location during the race.

Technology for a device operable for secured user access is described. The technology can comprise one or more processors. The device can be configured to identify an intruder indicator, wherein the intruder indicator can indicate that an intruder has been detected in a proximity of either the local device or a remote device in communication with the local device. The device can be configured to activate one or more privacy filters at the local device. The device can be configured to encode data based on the one or more privacy filters.

A vehicle having one or more cameras, configured to record one or more images of a person approaching the vehicle. The camera(s) can be configured to send biometric data derived from the image(s). The vehicle can include a computing system configured to receive the biometric data and to determine a risk score of the person based on the received biometric data and an AI technique, such as an ANN or a decision tree. The received biometric data or a derivative thereof can be input for the AI technique. The computing system can also be configured to determine whether to notify a driver of the vehicle of the risk score based on the risk score exceeding a risk threshold. The vehicle can also include a user interface, configured to output the risk score to notify the driver when the computing system determines the risk score exceeds the risk threshold.

Described herein are methods, systems and computer-program products for intra- and inter-gait classification for both symmetric and asymmetric gait patterns using images.

In one embodiment, a method includes receiving a first user request at a client system to suspend a first task being executed by an assistant system operating on the client system, suspending the execution of the first task responsive to the first user request, receiving a second user request at the client system, determining that the second user request is a request to resume the suspended first task based on user interactions with the assistant system with respect to one or more entities associated with the first task, and presenting a prompt to resume the first task at the client system.

Systems, methods, and non-transitory computer readable media containing instructions for causing at least one processor to perform operations to enable cursor control in an extended reality space are provided. In one implementation, the processor is configured to perform operations comprising receiving from an image sensor first image data reflecting a first region of focus of a user of a wearable extended reality appliance; causing a first presentation of a virtual cursor in the first region of focus; receiving from the image sensor second image data reflecting a second region of focus of the user outside the initial field of view in the extended reality space; receiving input data indicative of a desire of the user to interact with the virtual cursor; and causing a second presentation of the virtual cursor in the second region of focus in response to the input data.

A treadmill according to the present invention includes: a frame; an endless belt; an endless-belt drive unit; a plurality of cameras provided on the frame such that the orientations and/or locations thereof can be adjusted; a motion-data acquisition unit that markerlessly acquires motion data of a subject by using image information obtained with camera images; a motion analysis unit that analyzes the motion of the subject by using the motion data; and a control unit that controls the endless-belt drive unit based on the motion data.

A system for analysis of user gait and to provide correction in form of haptic and visual feedback. This system comprises a motion and force sensors and a haptic actuator embedded in the user shoe insoles in communication with a smart-phone based analysis application, configured to calculate motion and orientation of the user feet in relation to the value, location and distribution of ground reaction forces measured by sensors located in the shoe insoles and after analysis of said forces and motion, to provide haptic feedback to the user foot instructing about the location (and timing) of pressure the user must apply to achieve an optimal gait.

A vehicle having one or more cameras, configured to record one or more images of a person approaching the vehicle. The camera(s) can be configured to send biometric data derived from the image(s). The vehicle can include a computing system configured to receive the biometric data and to determine a risk score of the person based on the received biometric data and an AI technique, such as an ANN or a decision tree. The received biometric data or a derivative thereof can be input for the AI technique. The computing system can also be configured to determine whether to notify a driver of the vehicle of the risk score based on the risk score exceeding a risk threshold. The vehicle can also include a user interface, configured to output the risk score to notify the driver when the computing system determines the risk score exceeds the risk threshold.