Multiple-target motion capturing system integrating optical localization and inertia sensing

Abstract

The invention discloses a multiple-target motion capturing system integrating optical localization and inertia sensing. The multiple-target motion capturing system integrating the optical localization and the inertia sensing comprises target motion capturing units, a target locating unit, a data synchronous control unit and a data receiving and processing unit. A plurality of target motion capturing units are provided. Under the control of the data synchronous control unit, the target motion capturing units and the target locating unit transmit data to the data receiving and processing unit. The optical localization and a mechanical motion capturing technology are integrated, one position, with least shielding, on the surface of each target is simply fetched and taken as an optical localization point to obtain accurate location data of each target, the motion posture data of each target are captured through the mechanical motion capturing technology, and then calculations are carried out on the two types of data in an integral mode to obtain the integrate motion postures of multiple targets. The purposes of accurate location of each target and accurate capture of human motion postures are achieved.

Description

technical field [0001] Specifically, the present invention relates to a multi-target motion capture system that integrates optical positioning and inertial sensing. Background technique [0002] With the acceleration of digital processing speed and the application of sensors, various human-computer interaction systems have been developed. At present, the mainstream human-computer interaction includes mechanical motion capture systems and optical motion capture systems, both of which are suitable for single-target motion capture. The accuracy is high, but for the multi-target motion capture system, both of the above have certain shortcomings and cannot accurately achieve multi-target motion gesture capture. First of all, if the multi-target motion capture system is based on mechanical motion capture technology, there is no way Obtaining the absolute coordinate data of each target in three-dimensional space means that it is impossible to accurately locate the moving target in ...

AI Technical Summary

Problems solved by technology

[0002] With the acceleration of digital processing speed and the application of sensors, various human-computer interaction systems have been developed. At present, the mainstream human-computer interaction includes mechanical motion capture systems and optical motion capture systems, both of which are suitable for single-target motion capture. The accuracy is high, but for the multi-target motion capture system, both of the above have certain shortcomings and cannot accurately achieve multi-target motion gesture capture. First of all, if the multi-target motion capture system is based on mechanical motion capture technology, there is no way Obtain the absolute coordinate data of each target in three-dimensional space, that is, it is impossible to accurately locate the moving target in real time, so that the real moving picture of multiple moving targets cannot be reproduced. For example, the jumping action system of each target cannot be realized

Secondly, the optical motion capture technology can accurately obtain the absolute coordinate data of the target, which is realized by capturing multiple luminous marking points on the surface of the target body in real time through a high-speed camera, but if the multi-target motion capture system is based on optical motion capture The technical situation is different. The multi-target motion capture system captures more than one moving target. Since multiple marking points on the multi-target surface are prone to mutual occlusion during the movement process, once one or several marks on a certain target surface If the point is blocked, the high-speed camera cannot capture the image at that moment, so the coordinate data of the corresponding position in the three-dimensional space cannot be determined

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