Plots and stats.

商用VR设备用于视野测试的亮度能力研究数据,含文献综述和实证测量的图表与统计。

Figshare
2025-09-19 更新
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多模态visual field testingvirtual reality headsetsmonitoring defects seenlow db rangesdesigned &# 8212assuming conventional background30 degrees peripherallyvr headsets usedemployed vr headsetscurrent vr technologypart study includedmeet luminance requirements
Plots and stats.

基本信息

模态
多模态
大小
0.000017914 GB
许可
CC BY 4.0
创建/更新时间
2025-09-19
版本
v1

资源简介

Plots and stats.

【数据集背景】

源站首次发布:2025-09-19。

【数据内容】

源站原始描述:Purpose To investigate the luminance capacity and achievable threshold levels of commercially employed virtual reality (VR) devices for visual field testing. Methods This two-part study included (1) a literature review of VR headsets used for perimetry with luminance data extracted from technical specifications in publications and manufacturers; and (2) empirical evaluation of three most employed VR headsets in the literature using a custom virtual testing environment. Results Three most employe…

文件 pone.0332795.s002.R 为文本内容,开头为:## - ## Script name: plots_and_stats.R ## ## Purpose: Create plots and run stats for comparison across VR headsets (Vive, ## …

【数据结构与技术规格】

文件数 1 个,合计 17.91 KB。pone.0332795.s002.R:text/plain,17.91 KB。数据集 DOI:10.1371/journal.pone.0332795.s002。

【主题与分类】

源站学科分类:Medicine、Neuroscience、Physiology、Biotechnology、Evolutionary Biology、Mental Health。主题标签:visual field testing、virtual reality headsets、monitoring defects seen、low db ranges、designed &# 8212、assuming conventional background、30 degrees peripherally、vr headsets used、employed vr headsets、current vr technology。

【适用方向】

多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Plots_and_stats_/30168999

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Lee, Changseok; Redden, Liam; Eng, Vivian; Eadie, Brennan (2025). Plots and stats.. PLOS ONE. Dataset

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "pone.0332795.s002.R" "https://ndownloader.figshare.com/files/58104120"

文件清单

  • pone.0332795.s002.R(17.91 KB)

文件总体积 17.91 KB(源站 API 实测)。

数据说明

Purpose
To investigate the luminance capacity and achievable threshold levels of commercially employed virtual reality (VR) devices for visual field testing.
Methods
This two-part study included (1) a literature review of VR headsets used for perimetry with luminance data extracted from technical specifications in publications and manufacturers; and (2) empirical evaluation of three most employed VR headsets in the literature using a custom virtual testing environment.
Results
Three most employed VR devices for visual field testing were Pico Neo, Oculus Quest, and HTC Vive. The maximum reported luminance was 250 cd/m2 for the HTC Vive Pro. Information on luminance measurement was not consistently available, reporting only handheld luminance meters.
Empirical measurements show that handheld luminance meters significantly overestimate luminance compared to standard spectroradiometers. Measured luminance varies significantly across aperture size and decreases for peripheral stimuli up to 30 degrees peripherally. Assuming conventional background of 10 cd/m2, the best performance with lowest possible thresholding was with HTC Vive at 16dB, corresponding to luminance of 80 cd/m2 centrally. Oculus Quest 2 and Pico Neo 3 had minimum threshold of 20dB.
Conclusion
Commercially available VR devices do not meet luminance requirements or threshold sensitivities for visual field testing. Current VR technology is not designed—nor has the capacity—to threshold at mid-to-low dB ranges, which limits accuracy in diagnosing and monitoring defects seen in glaucoma.
Translational Relevance: This study highlights the technical limitations of current commercially available VR devices for visual field testing and significant variables in evaluating luminance performance in these devices.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0332795.s002(source: https://plos.figshare.com/articles/dataset/Plots_and_stats_/30168999)。

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