CN109582140A - A kind of architecture indoor pathfinding element vision significance assessment system and method based on virtual reality and eye movement tracking - Google Patents

A kind of architecture indoor pathfinding element vision significance assessment system and method based on virtual reality and eye movement tracking Download PDF

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CN109582140A
CN109582140A CN201811406520.7A CN201811406520A CN109582140A CN 109582140 A CN109582140 A CN 109582140A CN 201811406520 A CN201811406520 A CN 201811406520A CN 109582140 A CN109582140 A CN 109582140A
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data
eye movement
pathfinding
vision significance
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孙澄
杨阳
韩昀松
刘莹
黄欣鹏
高亮
张洪瑞
黄茜
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Harbin Institute of Technology
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/013Eye tracking input arrangements
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/10Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
    • A61B3/113Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining or recording eye movement
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2203/00Indexing scheme relating to G06F3/00 - G06F3/048
    • G06F2203/01Indexing scheme relating to G06F3/01
    • G06F2203/012Walk-in-place systems for allowing a user to walk in a virtual environment while constraining him to a given position in the physical environment

Abstract

The invention proposes a kind of architecture indoor pathfinding element vision significance assessment system and method based on virtual reality and eye movement tracking, comprising: virtual reality generation module establishes architecture indoor three dimensional virtual models based on investigational data;Display and control module show default environment scene, realize human-computer interaction;Data acquisition-and-recording module is tested indices data with eye movement tracing equipment real-time capture;Data process&analysis module, calls architectural design impact factor parameter group and eye movement data, and construction architecture indoor pathfinding element vision significance prediction model carries out vision significance assessment to relevant environment element to realize.The present invention can be improved the accuracy of user's pathfinding navigation decision prediction, by rationally introducing vision significance parameter, optimize architecture indoor evacuation emulation simulation algorithm model, and then provide more effective suggestion for building performanceization design.

Description

A kind of architecture indoor pathfinding element vision tracked based on virtual reality and eye movement is significant Property assessment system and method
Technical field
The invention belongs to space cognitive techniques fields, more particularly to a kind of based on virtual reality and eye movement tracking Architecture indoor pathfinding element vision significance assessment system and method.
Background technique
Under the driving that the emerging industry situation of experience type emerges rapidly, public space layout structure is multiple in commercial building synthesis It is miscellaneous, high using crowd density and, latent defect (such as fire) risk height low to monolithic architecture space familiarity etc. is a series of asks Topic is further exacerbated by, and needs to mitigate the spatial cognition burden of user while meeting rich space experience and interest, Its pathfinding efficiency is improved, to reduce the high-risk grade of building.In view of the complicated variety of indoor environment element, quantitative measuring and calculating makes The user's visual observation data during path-search and vision significance for assessing each element is horizontal, for helping architect more preferable Ground understands its original design intention and actually uses the degree of agreement of situation, examines the safety and legibility of space, and then refer to Leading complex building interior space circulation arrargement and guidance system design, optimization Security design of architecture has important role.
Building evacuation analogue simulation can design for building performanceization and provide strong foundation, according to simulation results to building It builds design initial stage scheme to be adjusted, the evacuation problem being likely to occur can be evaded in time, to effectively improve design efficiency.Crowd Analogue simulation is related to the crowd's psychology and behavial factor of architectural environment factor and all kinds of complexity, with stronger discreteness and not true It is qualitative, and some problems are exposed in use, such as: being difficult to accurately reflect local architectural environment to the true of user's decision It is real influence, existing simulation model mostly by evacuation time or path it is most short based on preset or optimize evacuation route, shorter mention How local environment prompt acts on user (the strange user for especially lacking global knowledge to environment) Real-time Decision Problem, so that analog result and measured data generate difference;For complicated and diversified indoor environment, environmental factor is to user There may be different degrees of positively or negatively influences for pathfinding navigation procedure, but since the experiment setting in simulation excessively simplifies, Its conclusion and actual observation result is caused not to be inconsistent.Problem above can cause larger shadow to the degree of reliability of simulation and forecast result It rings, limits its effective use in evacuation performance-based.Thus, scientific and reasonable method how is used, for the above local ring Border carries out effective data collection and analysis integration to the uncertain influence that user generates, and is Accurate Prediction user in environment In cognition and decision behavior, improve one of key problem of simulation precision.
It is limited by data acquisition technology and study condition, traditional cognitive experiment is mostly qualitative with questionnaire survey, thinking aloud etc. Method expansion, in view of the complexity and subjectivity of pathfinding and spatial cognition behavior, it is objective that this method is difficult to carry out the process Description.Eye movement chase experiment breaches the limitation of traditional mainstream Cognitive Study method, can accurately record human eye during path-search Watch information attentively, analyze the rule of its corelation behaviour psychology by generating quantitative data of the individual in visual exploration behavior, Have become the important method for solving spatial cognition field question in recent years.But correlative study focuses mostly in the outdoors such as city or block In terms of the research of environment, the research and application to architecture indoor are relatively fewer.It include more in indoor environment compared to outdoor Path turnover and disturbing factor, need more acurrate and more highdensity pathfinding marker assisting navigation process.
In practical application and academic research, true environment is since scene distracter is excessive and architectural design condition is difficult to The objective limitations such as change, it is difficult to carry out variable research and comparison of design;In addition, due to safety concerns, it also can not be in real scene Correlative study under the middle development state of emergency, therefore, research method and data acquisition are by larger limitation.Virtual reality technology It can preferably solve the above problems, in conjunction with computer graphics, Computer Simulation, threedimensional model processing and human-computer interaction etc. Multiple technologies generate the virtual environment with feeling of immersion that consciousness is felt comprising vision, sense of hearing etc. by computer simulation emulation, Interact user with virtual scene.The process can control effectively to objective environment factor, and can be repeated several times, To make up the deficiency in true environment experiment, more accurate mould is carried out with cognitive behavior to the pathfinding observation under different conditions Fit realization.
For these reasons, it is necessary to introduce the eye movement tracer technique of objective measurement and emulate controllable virtual reality skill Art provides new technical thought, interacts aspect research and technical application with Building Indoor Environment to user at this stage to supply Deficiency;Meanwhile needing to further investigate environmental factor with new technology to the influencing mechanism of user's behavior, and then thin to improve Dissipate simulation accuracy, optimization Security design of architecture provides theories integration.
Summary of the invention
Present invention aims at the more, design conditions for environmental disturbances factor present in existing building indoor environment can not The problems such as control, the shortcomings that overcoming the prior art with it is insufficient, a kind of architecture indoor tracked based on virtual reality with eye movement is provided and is sought Road element vision significance assessment system and method.
The purpose of the present invention is achieved through the following technical solutions: a kind of architecture indoor based on virtual reality and eye movement tracking Pathfinding element vision significance assessment system, the system comprises: Computer Graphics module, display and control module, eye movement Tracing module, data acquisition-and-recording module and data processing and analysis module;
The Computer Graphics module, for establishing the three dimensional virtual models of architecture indoor;
The display and control module, for showing the architecture indoor visual environment scene information of default generation, subject can Real-time, interactive is carried out with virtual environment;
The eye movement tracing module, for generating the eye movement achievement data of subject during the experiment;
The data acquisition-and-recording module, is connected with data process&analysis module, virtual for acquiring and recording The structure feature information of environmental element, semantic feature information and visual signature information data in architectural environment, subject are being tested Motion track, visual observation and eye movement data in the process, and by data information transfer to data process&analysis module;
The data process&analysis module, the architecture information for transmitting to data acquisition with logging modle are chased after with eye movement Track data are analyzed, and the vision significance of pathfinding element in architectural environment, and then construction vision significance forecast assessment are assessed Model.
The present invention also proposes that a kind of architecture indoor pathfinding element vision significance tracked based on virtual reality with eye movement is commented Estimate method, comprising the following steps:
Step 1, using the commercial building with Complicated Spatial Structure and organizational form as object, by case sample and on the spot The related data of investigation acquisition Building Indoor Environment and user's feature;
Step 2, based on the data information establish typical building threedimensional model group, and relevant parameter is arranged, and establish virtual Reality scene;
Step 3, the display virtual reality scenario, illustrate experimental duties to subject, carry out eye movement calibration to subject and open Begin to test, the eye movement data during acquisition subject completion task collects the correlated characteristic data of subject in combination with questionnaire;
Step 4 carries out data to the eye movement data and Architectural elements and user's characteristic parameter with statistical method Verification and standardization, establish vision significance model parameter group;
Step 5 carries out coupling processing to architectural modulus group and user's characteristic parameter group, constructs the vision of each pathfinding element Conspicuousness forecast assessment model, and then vision significance assessment is carried out to architecture indoor pathfinding element.
Further, the step 1 specifically: be laid out by the integral planar that sample investigation obtains commercial building synthesis With spatial streamline tissue signature, therefrom exemplary construction case is selected to carry out field survey, obtained using surveying and photographing to record mode The characteristic attribute for taking architecture indoor main environmental elements obtains the essential attribute of user, space using questionnaire and interview mode Influence degree information of the habit feature and each environmental element that cognition is navigated with pathfinding to its pathfinding navigation procedure.
Further, the step 2 specifically: built using Rhino, Sketchup and Revit D modeling tool Model is built, the buildings model includes the information in terms of the structure feature, semantic feature and visual signature of indoor environment element With data;Wherein, structure feature information include the pathfinding element and node and path relative position with towards angle;It is semantic Characteristic information includes that its functional category and mark guide;Visual signature parameter factors include its size, shape and ambient enviroment Color difference and its visual range and area.
Further, the step 3 includes virtual reality device and eye movement tracing equipment;Wherein, virtual reality device packet Include display component, acoustic assembly and interactive component;Display component is used to provide immersion experiment scene for subject, and acoustic assembly is used Speech explanation and environmental background sound during offer, interactive component control its behavior for being tested in virtual environment;Eye Dynamic tracing equipment is for obtaining the eye movement data in subject experimentation, the eye movement with the sample frequency of 50Hz real-time continuously Data include being tested blinkpunkt position, watching track attentively and its first entering time, fixation times and watch attentively to visual interest area Time.
Further, the step 4 specifically:
Finding and the main pathfinding tested at eye movement data statistics inductive path node are first on the spot for step 4.1, basis Element, and corresponding region of interest is set it to, it is the basic parameter for measuring vision significance with fixation times and fixation time, according to Vision significance is divided into five grades, Lai Dingyi significant indexes S by its numerical value mean value;
Each design impact factor of the pathfinding element is carried out quantification treatment by step 4.2, obtains the pathfinding element The impact factor set of design parameters of vision significance.
Further, the step 5 specifically: using significant indexes S described in step 4 as dependent variable, characterization structure is special Each impact factor set of design parameters of sign, semantic feature and visual signature is independent variable, while introducing user's feature ginseng Number eliminates conllinear sex factor by multiple regression, constructs architectural design parameter and user's characterization factor and pathfinding element vision The n-tuple relation model of conspicuousness.
Detailed description of the invention
Fig. 1 is the architecture indoor pathfinding element vision significance assessment system block diagram tracked based on virtual reality and eye movement;
Fig. 2 is the architecture indoor pathfinding element vision significance appraisal procedure process tracked based on virtual reality and eye movement Figure.
Specific embodiment
Technical solution in the embodiment of the present invention that following will be combined with the drawings in the embodiments of the present invention carries out clear, complete Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on this Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts Example is applied, shall fall within the protection scope of the present invention.
In conjunction with Fig. 1, the present invention proposes that a kind of architecture indoor pathfinding element vision based on virtual reality and eye movement tracking is aobvious Work property assessment system, the system comprises: Computer Graphics module, display and control module, eye movement tracing module, data are adopted Collection and logging modle and data processing and analysis module;
The Computer Graphics module, for establishing the three dimensional virtual models of architecture indoor;
The display and control module, for showing the architecture indoor visual environment scene information of default generation, subject can Real-time, interactive is carried out with virtual environment;
The eye movement tracing module, for generating the eye movement achievement data of subject during the experiment;
The data acquisition-and-recording module, is connected with data process&analysis module, virtual for acquiring and recording The structure feature information of environmental element, semantic feature information and visual signature information data in architectural environment, subject are being tested Motion track, visual observation and eye movement data in the process, and by data information transfer to data process&analysis module;
The data process&analysis module, the architecture information for transmitting to data acquisition with logging modle are chased after with eye movement Track data are analyzed, and the vision significance of pathfinding element in architectural environment, and then construction vision significance forecast assessment are assessed Model.
In conjunction with Fig. 2, the present invention also proposes a kind of architecture indoor pathfinding element vision based on virtual reality and eye movement tracking Salience estimation, comprising the following steps:
Step 1, the commercial building with large-scale synthesis commercial off-the-shelf component etc. with Complicated Spatial Structure and organizational form are Object acquires the related data of Building Indoor Environment and user's feature by case sampling and on-site inspection;Determine modeling institute Need environmental visual and structural factor feature;
Using scale and type as main principle, the integral planar cloth of commercial building synthesis sample is obtained by sample investigation Office and spatial streamline tissue geometric parameter mainly include architectural plane form and the number of plies, spatial topotaxy, industry situation distribution, put down Face and spatial design size etc., and therefrom selection exemplary construction case carries out field survey.Using the modes such as surveying, photograph to record Obtain the characteristic attribute parameter of architecture indoor main environmental elements, color, position, bulk including outstanding feature object etc.. The habit feature and each environmental element of essential attribute, spatial cognition and the pathfinding navigation of user are obtained using questionnaire and interview The information such as the influence degree to its pathfinding navigation procedure.
Step 2, based on the data information establish typical building threedimensional model group, and relevant parameter is arranged, and establish virtual Reality scene;
Buildings model is established using D modeling tools such as Rhino, Sketchup, Revit according to architectural plan, it is described Buildings model includes the information and date of structure feature, semantic feature and visual signature of indoor environment element etc..Its In, structure feature information include the pathfinding element and node and path relative position with towards angle;Semantic feature information It is guided including its functional category and mark;Visual signature parameter factors include its size, shape, the color difference with ambient enviroment And its visual range and area.The threedimensional model of creation is directed into Unity 3D engine, the rings such as illumination, mark system are added Border system constructs final virtual reality scenario.
Step 3, the display virtual reality scenario, illustrate experimental duties to subject, carry out eye movement calibration to subject and open Begin to test, the eye movement data during acquisition subject completion task collects the correlated characteristic data of subject in combination with questionnaire;
The step 3 includes virtual reality device and eye movement tracing equipment;Wherein, virtual reality device includes display group Part, acoustic assembly and interactive component;Display component is used to provide immersion experiment scene for subject, and acoustic assembly was for providing Speech explanation and environmental background sound in journey, interactive component the behaviors such as control its movement in virtual environment, turn to for being tested; Eye movement tracing equipment is for obtaining the eye movement data in subject experimentation, the eye with the sample frequency of 50Hz real-time continuously Dynamic data include subject blinkpunkt position, watch track attentively and its first enter time, fixation times and note to visual interest area Between apparent time.
The experiment selects Tobii Glass 2 to collect experiment eye movement data, and experiment first carries out eye movement to subject before starting Calibration, subject need to need the pathfinding task for completing different phase as required in virtual reality scenario after meeting the requirements, and build not With 4 task points are arranged in floor, subject can select different pathfinding strategies on demand, appoint until sequentially finding 4 in order Terminate test after business point.What eye tracker can accurately measure that subject generates during the experiment watches attentively, sweeps, twitching of the eyelid and following fortune The physiological reactions such as dynamic, to reflect it in pathfinding observation and decision process to the visual perception and physiological feedback of external environment progress Process.In indices, fixation time (Fixation Duration) and blinkpunkt quantity (Fixation Count) can have Perceptibility, attention value and the level of understanding of the effect characterization people during observation, the vision for describing environmental stimulus material are significant Property feature.Essential attribute, the overall assessment of pathfinding process, environmental element evaluation of effect of subject are collected in experimentation using questionnaire Etc. data, interview after Binding experiment supplements experimentation.
Step 4 carries out data to the eye movement data and Architectural elements and user's characteristic parameter with statistical method Verification and standardization, establish vision significance model parameter group;
The step 4 specifically:
Finding and the main pathfinding tested at eye movement data statistics inductive path node are first on the spot for step 4.1, basis Element, and corresponding region of interest is set it to, it is the basic parameter for measuring vision significance with fixation times and fixation time, according to Vision significance is divided into five grades, Lai Dingyi significant indexes S by its numerical value mean value;
Step 4.2, each design impact factor such as area, shape, color, visuality, function by the pathfinding element Attribute, spatial position etc. carry out quantification treatment, obtain the impact factor set of design parameters of the pathfinding element vision significance.
Mapping processing is carried out to the eye movement data in experimentation using eye movement analysis software, and exports subject for difference Vision significance is divided into five grades according to its numerical value mean value by the fixation time and blinkpunkt quantity of environmental element, as Vision significance measurement index S.By experimentation observation and interview can find that different elements is caused to watch distribution condition difference attentively The main reason for include its structure feature, semantic feature and visual signature, quantification treatment is carried out to it respectively and establishes corresponding ginseng Array.Wherein, the structural characteristic parameter factor includes the relative position and angle of itself and node and path;Semantic feature parameter factors It is guided including its functional category and mark;Visual signature parameter factors include its size, shape, the color contrast with ambient enviroment And its effective area.
Step 5 carries out coupling processing to architectural modulus group and user's characteristic parameter group, constructs the vision of each pathfinding element Conspicuousness forecast assessment model, and then vision significance assessment is carried out to architecture indoor pathfinding element.
The step 5 specifically: using significant indexes S described in step 4 as dependent variable, characterization structure feature, semantic spy Sign and each impact factor set of design parameters of visual signature are independent variable, while introducing user's characteristic parameter, by more Conllinear sex factor is eliminated in secondary recurrence, constructs the more of architectural design parameter and user's characterization factor and pathfinding element vision significance First relational model.
Coupling processing is carried out to the architectural design parameter group and user's characteristic parameter group, constructs conspicuousness model are as follows:
S is the significant grade of vision of the pathfinding element, x in formulaiFor environmental element i-th (i=1,2 ..., n) structure The quantized value of feature, semantic feature and visual signature parameter factors, wiFor weighted value of the parameter factors in whole conspicuousness, C is constant.
Using constructed equation there is no Problems of Multiple Synteny and by statistical check as suspension condition, to original argument The functional transformations such as reciprocal, combination are carried out, parameters is rationally introduced, conllinear sex factor is eliminated by multiple regression, can be constructed The n-tuple relation model of each pathfinding element and vision significance.It can be analyzed by data to ring in complex building room using this model The vision significance potentiality of each pathfinding element are assessed in border, and can be based on computer simulation software prediction user's Path decision result;According to its data analysis result, the guiding opinion to Building Indoor Environment optimization design is proposed.
The present invention uses virtual reality and eye movement tracer technique, passes through user and architectural environment during investigation pathfinding Interactive relationship establishes architectural design factor parameter group, structure in conjunction with objective architectural design feature and the random subjective characteristics of user The vision significance model of indoor pathfinding element has been built, provides theoretical and data branch to improve the accuracy of evacuation analog result It holds, to improve Performance Design efficiency, also provides suggestion for architect.The present invention can be improved prediction user's pathfinding navigation and determine The accuracy of plan optimizes architecture indoor evacuation emulation simulation and forecast process, Jin Erneng by rationally introducing vision significance parameter More effective suggestion is provided for building performanceization design.
Above to a kind of architecture indoor pathfinding element vision based on virtual reality and eye movement tracking provided by the present invention Significant assessment System and method for, is described in detail, and specific case used herein is to the principle of the present invention and implementation Mode is expounded, and the above description of the embodiment is only used to help understand the method for the present invention and its core ideas;Meanwhile For those of ordinary skill in the art, according to the thought of the present invention, has change in specific embodiments and applications Become place, in conclusion the contents of this specification are not to be construed as limiting the invention.

Claims (7)

1. a kind of architecture indoor pathfinding element vision significance assessment system based on virtual reality and eye movement tracking, feature exist In, the system comprises: Computer Graphics module, display and control module, eye movement tracing module, data acquisition-and-recording mould Block and data processing and analysis module;
The Computer Graphics module, for establishing the three dimensional virtual models of architecture indoor;
The display and control module, for showing the architecture indoor visual environment scene information of default generation, subject can be with void Near-ring border carries out real-time, interactive;
The eye movement tracing module, for generating the eye movement achievement data of subject during the experiment;
The data acquisition-and-recording module, is connected with data process&analysis module, for acquiring and recording Virtual Building The structure feature information of environmental element, semantic feature information and visual signature information data in environment are tested in experimentation In motion track, visual observation and eye movement data, and by data information transfer to data process&analysis module;
The data process&analysis module, for tracking number to data acquisition and the architecture information and eye movement of logging modle transmitting According to being analyzed, the vision significance of pathfinding element in architectural environment, and then construction vision significance forecast assessment model are assessed.
2. a kind of architecture indoor pathfinding element vision significance based on virtual reality and eye movement tracking as described in claim 1 The appraisal procedure of assessment system, which comprises the following steps:
Step 1, using the commercial building with Complicated Spatial Structure and organizational form as object, pass through case sampling and on-site inspection Acquire the related data of Building Indoor Environment and user's feature;
Step 2, based on the data information establish typical building threedimensional model group, and relevant parameter is arranged, and establish virtual reality Scene;
Step 3, the display virtual reality scenario, illustrate experimental duties to subject, carry out eye movement calibration to subject and start reality It tests, the eye movement data during acquisition subject completion task collects the correlated characteristic data of subject in combination with questionnaire;
Step 4 carries out data check to the eye movement data and Architectural elements and user's characteristic parameter with statistical method With standardization, vision significance model parameter group is established;
Step 5 carries out coupling processing to architectural modulus group and user's characteristic parameter group, and the vision for constructing each pathfinding element is significant Property forecast assessment model, and then to architecture indoor pathfinding element carry out vision significance assessment.
3. appraisal procedure according to claim 2, it is characterised in that: the step 1 specifically: obtained by sample investigation The integral planar layout of commercial building synthesis and spatial streamline tissue signature, therefrom select exemplary construction case to be surveyed on the spot Amount, using the characteristic attribute for surveying and photographing to record mode and obtain architecture indoor main environmental elements, using questionnaire and interview side Formula obtains the habit feature of essential attribute, spatial cognition and the pathfinding navigation of user and each environmental element navigates to its pathfinding The influence degree information of process.
4. appraisal procedure according to claim 3, it is characterised in that: the step 2 specifically: using Rhino, Sketchup and Revit D modeling tool establishes buildings model, and the buildings model includes that the structure of indoor environment element is special Information and date in terms of sign, semantic feature and visual signature;Wherein, structure feature information includes the pathfinding element and section The relative position in point and path and towards angle;Semantic feature information includes that its functional category and mark guide;Visual signature ginseng The number factor includes its size, the color difference of shape and ambient enviroment and its visual range and area.
5. appraisal procedure according to claim 4, it is characterised in that: the step 3 includes virtual reality device and eye movement Tracing equipment;Wherein, virtual reality device includes display component, acoustic assembly and interactive component;Display component is used for as subject There is provided immersion experiment scene, acoustic assembly be used for provide during speech explanation and environmental background sound, interactive component be used for Subject controls its behavior in virtual environment;Eye movement tracing equipment is used to obtain subject real-time continuously with the sample frequency of 50Hz Eye movement data in experimentation, the eye movement data include subject blinkpunkt position, watch track attentively and its to visual interest area First enter time, fixation times and fixation time.
6. appraisal procedure according to claim 5, it is characterised in that: the step 4 specifically:
Step 4.1, according to the main pathfinding element at finding on the spot and experiment eye movement data statistics inductive path node, and Corresponding region of interest is set it to, is the basic parameter for measuring vision significance with fixation times and fixation time, according to its number Vision significance is divided into five grades, Lai Dingyi significant indexes S by value mean value;
Each design impact factor of the pathfinding element is carried out quantification treatment by step 4.2, obtains the pathfinding element vision The impact factor set of design parameters of conspicuousness.
7. appraisal procedure according to claim 6, it is characterised in that: the step 5 specifically: to be shown described in step 4 Work property index S is dependent variable, and each impact factor set of design parameters of characterization structure feature, semantic feature and visual signature is Independent variable, while user's characteristic parameter is introduced, conllinear sex factor is eliminated by multiple regression, architectural design parameter is constructed and makes The n-tuple relation model of user's characterization factor and pathfinding element vision significance.
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CN110276334A (en) * 2019-06-28 2019-09-24 海马汽车有限公司 A kind of analysis method and system for user's vehicle service condition
CN110285818A (en) * 2019-06-28 2019-09-27 武汉大学 A kind of Relative Navigation of eye movement interaction augmented reality
CN110285818B (en) * 2019-06-28 2023-09-19 武汉大学 Relative navigation method of eye movement interaction augmented reality
CN110569323A (en) * 2019-08-02 2019-12-13 中国地质大学(武汉) indoor navigation landmark extraction method
CN110989829A (en) * 2019-10-31 2020-04-10 北京航空航天大学青岛研究院 Testing method based on eye movement algorithm
CN110989829B (en) * 2019-10-31 2023-06-16 北京航空航天大学青岛研究院 Eye movement algorithm-based test method
CN111095170A (en) * 2019-11-25 2020-05-01 深圳信息职业技术学院 Virtual reality scene, interaction method thereof and terminal equipment
US11842446B2 (en) 2019-11-25 2023-12-12 Shenzhen Institute Of Information Technology VR scene and interaction method thereof, and terminal device
CN111580641A (en) * 2020-03-16 2020-08-25 中国人民解放军陆军军医大学 VR-based military decision efficiency simulation monitoring and early warning system
CN111580641B (en) * 2020-03-16 2022-04-22 中国人民解放军陆军军医大学 VR-based military decision efficiency simulation monitoring and early warning system
CN111414083A (en) * 2020-04-03 2020-07-14 中国建设银行股份有限公司 Method and device for carrying out availability test on space
CN111414083B (en) * 2020-04-03 2023-08-29 建信金融科技有限责任公司 Method and device for testing availability of space
CN112034983A (en) * 2020-08-27 2020-12-04 中国矿业大学 Eye tracking and virtual reality combined indoor navigation road network construction method
CN112948203B (en) * 2021-02-03 2023-04-07 刘靖宇 Elevator intelligent inspection method based on big data
CN112948203A (en) * 2021-02-03 2021-06-11 刘靖宇 Elevator intelligent inspection method based on big data
CN113256126A (en) * 2021-05-31 2021-08-13 樊天放 System and method for detecting training effect based on eye focus position
CN114971045A (en) * 2022-06-02 2022-08-30 哈尔滨理工大学 Visual characteristic-based emergency identification effectiveness optimization method
CN115268646A (en) * 2022-08-02 2022-11-01 清华大学 Man-machine collaborative construction process sensing system, device, analysis method and medium
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Application publication date: 20190405