The specification discloses methods and systems for enabling users to configure one or more actuators in data communication with a user's computing device and positioned on a prop to generate and deliver feedback to a motion capture actor engaged with the prop. At least one graphical interface in the computing device is configured to enable the user to configure occurrence of at least one event during a scene, associate a time and duration of occurrence to the at least one event within an overall duration of the scene, select the prop, assign the at least one event and the associated time and duration of occurrence to at least one actuator on the prop, configure at least one parameter for the feedback, and activate the at least one actuator to generate and deliver the feedback to the actor in response to an occurrence of the at least one event.

During a first time period and for a first user, a second user is automatically selected based on competitive data of the first user and competitive data of the second user, and a workout selection is sent to cause a video of a workout to be displayed during a second time period on a smart mirror of the first user and a smart mirror of the second user. During the second time period, a live stream of the first user exercising is displayed at the smart mirror of the second user, and a live stream of the second user exercising is received and displayed at the smart mirror of the first user. During the second time period, a performance score of the first user and a performance score of the second user is displayed at the smart mirrors of the first user and the second user.

This application is directed to a home monitoring and control system including a doorbell installed at a door of a home. The doorbell has a button configured to, upon being touched, depressed or activated, wirelessly initiate a first communication to indicate presence of a person at the door. The doorbell also has a camera configured to capture video data within a field of view, and a processor configured to cause a communication component to enable the first communication and wirelessly stream via a remote server the video data captured by the camera to a monitoring device associated with an occupant of the home. A rechargeable battery is coupled to a housing wire and configured to be charged via the housing wire, and the doorbell is configured to charge and discharge the rechargeable battery based on power usage of the doorbell.

The present disclosure describes human body attribute recognition methods and apparatus, electronic devices, and a storage medium. The method includes acquiring a sample image containing a plurality of to-be-detected areas being labeled with true values of human body attributes; generating, through a recognition model, a heat map of the sample image and heat maps of the to-be-detected areas to obtain a global heat map and local heat maps; fusing the global and the local heat maps to obtain a fused image, and performing human body attribute recognition on the fused image to obtain predicted values; determining a focus area of each type of human body attribute according to the global and the local heat maps; correcting the recognition model by using the focus area, the true values, and the predicted values; and performing, based on the corrected recognition model, human body attribute recognition on a to-be-recognized image.

Fabrication processing is executed in a chip of an image sensor. An image capturing device includes an image capturing unit (11) mounted on a vehicle and configured to generate image data by performing image capturing of a peripheral region of the vehicle, a scene recognition unit (214) configured to recognize a scene of the peripheral region based on the image data, and a drive control unit (12) configured to control drive of the image capturing unit based on the scene recognized by the scene recognition unit.

The present disclosure has a configuration in which a distributor who performs a separate distribution that is different from this live content, or a viewer who views this separate distribution can participate in a virtual space and express intent or participate in visual recognition through the commitment of a virtual item.

Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaming object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

The present disclosure provides a method of providing customized training content and a user terminal for implementing the same for further increasing interest in exercise by providing training content in consideration of the physical ability and characteristics of a user and simultaneously allowing the user to easily know whether the user is exercising with a correct posture and method to continuously exercise at a pace suitable for a level of the user. The user terminal includes a display, a camera, and a controller configured to perform control to acquire information on a reference posture of a trainer appearing in an exercise content through artificial intelligence, to recognize an exercise posture of a user photographed through the camera through artificial intelligence while the exercise content is reproduced, and to adjust a reproduction speed of the exercise content based on the recognized exercise posture of the user.

Systems and methods are provided for enhanced animation generation based on using motion mapping with local bone phases. An example method includes accessing first animation control information generated for a first frame of an electronic game including local bone phases representing phase information associated with contacts of a plurality of rigid bodies of an in-game character with an in-game environment. Executing a local motion matching process for each of the plurality of local bone phases and generating a second pose of the character model based on the plurality of matched local poses for a second frame of the electronic game.

An image processing device of a person detection system mounted on a moving body is configured to: detect, in image data obtained from a camera, an area of the image data in which an obstacle appears; perform a center-of-gravity area-width adjustment process in which a position of center of gravity of the obstacle in the area of the image data is estimated and a width of the area of the image data is adjusted based on the position of center of gravity; and determine whether the obstacle in the area is a person by comparing a post-adjustment area obtained after the center-of-gravity area-width adjustment process is performed with dictionary data.