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。

基本信息
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
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。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放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)
- 源站标题:Plots and stats.
- DOI:10.1371/journal.pone.0332795.s002
- 发布日期:2025-09-19
- 文件数:1 个
- 文件总体积:17.91 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Plots_and_stats_/30168999
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)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




