Inertial motion capture pose transient calibration method and inertial motion capture system

Abstract

The invention discloses an inertial motion capture pose transient calibration method and an inertial motion capture system. The inertial motion capture system comprises a data communication module, one or more pose capture modules and a data terminal, wherein each pose capture module comprises a nine-axis sensor (and a microprocessor), and one of the pose capture modules is a reference module; and pose transient calibration is performed by establishing a relationship among a world coordinate system V(w), an object capture coordinate system and an installation coordinate system in the system. Through the method and the system, a user can transiently and quickly finish system calibration only by adopting a pose, and pose correction and automatic quick adjustment of a skeleton proportion of a virtual model can be performed in the calibration process, so that the matching degree of action nodes is increased, the problem of inconsistent skeleton proportions of the virtual model and an actual object is effectively solved, the actions of a captured object are highly recovered, and the precision of motion capture is improved; and the operation is simple, so that the action capture time is greatly shortened.

Description

technical field [0001] The invention relates to a motion capture technology, in particular to an inertial motion capture gesture instantaneous calibration method and system thereof. Background technique [0002] Motion / motion capture technology is a technology that uses various sensor devices and scientific and technological methods to convert the motion information of an object into information that can be recognized by a computer. Motion capture technology is widely used in film and television animation, virtual games, sports, medical and other fields. [0003] Depending on the hardware method used, motion capture techniques include mechanical motion capture, acoustic motion capture, electromagnetic motion capture, optical motion capture, and inertial motion capture. Various motion capture methods differ in several dimensions such as usage environment, capture accuracy, ease of use, and price. In general, inertial motion capture technology has good performance in these d...

AI Technical Summary

Problems solved by technology

When the number of bones of the captured object is large (take the human body as an example, if you capture the whole body of the human body including the movements of the fingers, you need to capture about 47 main bones in total), the parameters are adjusted by manually modifying the bone ratio of the virtual object model The method of realizing calibration brings great inconvenience to the use of the motion capture system, which is not conducive to the application and promotion of motion capture technology

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