A vr window view comfort closed-loop regulation method and system for action-restricted people

Abstract

The application discloses a VR window view comfort closed-loop regulation method and system for action-restricted groups, which calibrates individual risk through pre-experiment before window view scene presentation, generates pre-experiment risk level according to original data of the subject and historical prior of historical subjects, and initializes VR window view scene according to the pre-experiment risk level and the adjustment range allowed by the limited window view scene. In the process of presenting the window view scene, the gaze point of the subject is mapped to the window view semantic area to form a visual semantic preference vector, a semantic weight vector and a semantic and physiological coupling risk, and a supplementary index generated by selecting a seat pressure, a breathing change or a head movement weight according to the restricted type label is used to determine a variable point safety level, and the window view scene parameters are adaptively regulated according to the variable point safety level. The method and system provide a safe, traceable, predictable and adaptive VR window closed-loop regulation scheme suitable for action-restricted groups.

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