A multi-user cooperative interaction-based MR simulation training method and device

Abstract

The present application relates to the field of cooperative interaction technology, in particular to a MR simulation training method and device based on multi-user cooperative interaction. The method comprises: collecting three-dimensional space data and physical attribute information of a real environment to obtain real environment data; fusing virtual training elements and denoised real environment data to generate a cooperative virtual space; generating a multi-user cooperative task flow according to a training target and issuing the cooperative task flow to each user to enable each user to perform a training task in the cooperative virtual space according to the cooperative task flow; analyzing the performance and task completion of the multi-user in the cooperative task flow to generate a cooperation evaluation report. Through denoising processing of the real environment data, the fusion effect of the virtual scene and the real environment is optimized, and the performance and task completion of the multi-user in the cooperative task flow are analyzed and quantitatively evaluated to improve the training task completion degree and cooperation efficiency of the multi-user.

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