Virtual reality and eye movement tracking-based visual saliency evaluation system and method for indoor path-finding elements of a building

Abstract

The invention provides a building indoor path finding element visual saliency evaluation system and method based on virtual reality and eye movement tracking, and the system comprises a virtual reality generation module which establishes a building indoor three-dimensional virtual model based on investigation data; The display and control module is used for displaying a preset environment scene and realizing man-machine interaction; The data acquisition and recording module is used for capturing various tested index data in real time by using eye movement tracking equipment; And the data processing and analyzing module is used for calling the building design influence factor parameter set and the eye movement data to construct a building indoor path-finding element visual saliency prediction model so as to realize visual saliency evaluation on related environment elements. According to the method, the accuracy of user path-finding navigation decision prediction can be improved, the visual saliency parameters are reasonably introduced, the building indoor evacuation simulation algorithm model is optimized, and more effective suggestions are provided for building performance design.

Description

Technical field [0001] The invention belongs to the technical field of architectural space cognition, and particularly relates to a visual saliency evaluation system and method of building indoor pathfinding elements based on virtual reality and eye tracking. Background technique [0002] Driven by the rapid rise of experiential emerging business types, a series of problems such as the complex layout of public spaces in commercial building complexes, the high density of users, low familiarity with the overall building space, and high risks of potential accidents (such as fires) have further intensified. There is an urgent need to reduce the user's spatial cognitive burden and improve the efficiency of wayfinding while satisfying the richness and interest of the space experience, so as to reduce the high-risk level of the building. In view of the complex diversity of indoor environment elements, quantitatively measuring the user’s visual observation data during the pathfinding pro...

AI Technical Summary

Problems solved by technology

[0005] In practical applications and academic research, it is difficult to carry out variable research and design comparison in the real environment due to objective constraints such as too many scene interference items and difficult to change architectural design conditions; in addition, for safety reasons, it is also impossible to carry out emergency states in real scenes Therefore, research methods and data acquisition are relatively limited

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