[Object] To provide a sensor device, sensing method, and information processing device, capable of executing more flexible measurement for visualizing the movement of an object. [Solution] The sensor device includes: a sensor unit configured to sense information relating to an object; an attachment portion configured to detachably attached to any of one or more attachment positions provided on the object; and an acquisition unit configured to acquire information indicating the attachment position to which the attachment portion is attached.

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.

Methods and systems for real-time generation of ball shot analytics are disclosed. The methods and systems perform steps for ball and posture detection, ball and posture flow generation, shot event identification and classification, and shot analytics generation based on identified shot events and shooter posture flow. Embodiments of the present invention use computer vision techniques to enable a resource-limited mobile device such as a smartphone to conduct the aforementioned steps. Therefore, the present invention may be implemented using a processor on a single mobile computing device. Also disclosed are benefits of the new methods, and alternative embodiments of implementation.

A method includes identifying, based on sensor data received by a motion sensor, a physical activity performed by a user of the computing system during a time period and determining whether the user consumed media during the time period that the user performed the physical activity. The method also includes responsive to determining that the user consumed the media during the time period that the user performed the physical activity, determining, based on data indicative of the media consumed by the user, an updated physical activity performed by the user during the time period; and outputting data indicating the updated physical activity.

A method includes capturing, using an Internet of Things (IoT) device, real-time video of a user performing an exercise associated with a first exercise class. Real-time video of the user is displayed, via a display, concurrently with video of an instructor, to provide a visual comparison of the user to the instructor. Image analysis of the real-time video of the user is performed to determine a performance of the user, and a representation thereof is displayed. Biometric data associated with the user is received at the IoT device from a wearable device at multiple points in time. Heart rates are identified based on the biometric data, and scores based on the heart rates are displayed via the display. A recommendation for a second exercise class different from the first exercise class is determined based on a profile of the user, and displayed via the display.

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.

A skeleton recognition device includes one or more memories; and one or more processors coupled to the one or more memories and the one or more processors configured to: acquire an output result by inputting teacher data to a training model and processing forward propagation, the teacher data having skeleton information that indicates positions of a plurality of bones of a human as a correct answer value, acquire a value of a loss function based on a difference in a bone length and a difference in an angle between the plurality of bones, the bone length and the angle being based on the skeleton information and the output result, and adjust parameters of the training model based on the value of the loss function.

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.