US20260203916
2026-07-16
Physics
G06T7/248
As motion data, for example, skeleton data represented by a skeleton structure indicating the structure of a body is used to visualize information regarding the motion of a moving body such as a human or an animal. Skeleton data includes information regarding the positions or postures of parts. Note that the parts of a skeleton structure correspond to the end parts or joint parts of a body, for example. Further, skeleton data may include bones that are line segments connecting parts to each other. The bones of a skeleton structure can correspond to human bones, for example; however, the positions and the number of bones may not be consistent with those of the actual human skeleton.
The position and posture of each part in skeleton data are acquirable by various motion capture technologies. For example, there are a camera-based technology in which markers are attached to respective parts of a body and the positions of the markers are acquired with use of an external camera or the like, and a sensor-based technology in which motion sensors are attached to parts of a body and position information regarding the motion sensors is acquired in reference to time-series data acquired by the motion sensors. Further, the applications of skeleton data are diverse. For example, the time-series data of skeleton data is used for form improvement in sports, or is used for such applications as VR (Virtual Reality) or AR (Augmented Reality). Further, avatar video in which the motion of a user is mimicked is generated with use of the time-series data of skeleton data, and the avatar video in question is distributed.
In the following, as an embodiment of the present disclosure, an exemplary configuration of an information processing system configured to acquire the feature amount of skeleton data or the feature amount of each part in skeleton data calculated from time-series data concerning the motion of the whole body of a user and to search for motion data by using the feature amount in question is described. Note that, although humans are mainly described below as exemplary moving bodies, the embodiment of the present disclosure is also applicable to other moving bodies such as animals and robots.
FIG. 1 is an explanatory diagram illustrating the information processing system according to the embodiment of the present disclosure. As illustrated in FIG. 1, the information processing system according to the embodiment of the present disclosure includes six sensor apparatuses S1 to S6 that are attached to a user U, an information processing terminal 10, and a server 20.
The information processing terminal 10 is connected to the server 20 via a network 1. The network 1 is a wired or wireless transmission path for information transmitted from apparatuses connected to the network 1. Examples of the network 1 may include public networks such as the Internet, telephone networks, and satellite communication networks, various LANs (Local Area Networks) including Ethernet (registered trademark), WANs (Wide Area Networks), and dedicated line networks such as IP-VPNs (Internet Protocol-Virtual Private Networks).