Method and device for detecting dizziness degree of user in virtual environment and storage medium

Abstract

The invention relates to a method and device for detecting the dizziness degree of a user in a virtual environment and a storage medium, and belongs to the technical field of computers. The method comprises the steps that moving track information of the user in a three-dimensional space coordinate system of the virtual environment is acquired; the moving track information is processed based on a track compression algorithm to obtain compression ratio data and track compression ratio variable quantity data of the moving track information; the compression ratio data and the track compression ratio variable quantity data are input into a pre-trained dizziness degree estimation model to obtain a dizziness degree prediction result. The track compression data in the virtual environment is used as the input data of the vertigo degree estimation model, a user does not need to wear redundant sensors and does not need to be separated from the virtual environment, and the immersion experience of the user in the virtual environment is not affected. Moreover, the system completely depends on basic virtual reality equipment, does not need to additionally configure a sensor, simplifies the system structure, and has higher popularization and application potential.

Description

【Technical field】 [0001] The present application relates to a method, device and storage medium for detecting vertigo degree of a user in a virtual environment, and belongs to the field of computer technology. 【Background technique】 [0002] With the rapid development of virtual reality (Virtual Reality, VR), the application of VR becomes more and more extensive. When experiencing virtual reality technology, the illusion of motion in the VR environment often triggers virtual reality vertigo, that is, the virtual environment feels movement due to visual effects but there is no movement in reality. [0003] At present, the identification and measurement methods for vertigo in the virtual environment of users are usually based on filling out subjective questionnaires or subjectively scoring the discomfort level of users in or outside the virtual environment. [0004] But such an approach would lose information about the cause and timing of the vertigo, or destroy the immersive...

AI Technical Summary

Problems solved by technology

[0006] However, detection through physiological indicators requires the configuratio

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