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MRI: Development of a Next-Generation Interactive Virtual-Reality Display Environment for Science

MRI: Development of a Next-Generation Interactive Virtual-Reality Display Environment for Science
MRI:开发下一代科学交互式虚拟现实显示环境
批准号:
0923393
负责人:
David Laidlaw
金额:
$200.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2015-09-30

项目摘要

项目成果

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中文摘要
翻译
提案编号:CNS 09- 23393 PI:Laidlaw,大卫H.; Hesthaven,Jan S.; Karnadiakis,乔治E.;货车大坝,安德里斯机构:布朗大学 普罗维登斯,RI 02912- 9002标题: MRI/器械: 下一代交互式虚拟现实科学显示环境 该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。 项目建议:该项目旨在开发一个世界级的交互式大视场9500万像素沉浸式虚拟现实环境,旨在创建一个新颖的,实用的,丰富的,富有表现力的交互,可视化和分析,真正利用虚拟现实(VR)中的人类视觉和运动系统。这项工作旨在帮助加速科学工作,研究创新的可视化方法,以加速未来的科学,甚至利用沉浸式大视场可视化和以身体为中心的人机交互的基本优势。二十年的研究已经确立了沉浸式显示器作为许多科学领域中的研究工具的价值,并且还确定了一组当前未满足的需求,这些需求阻碍了这种显示器应用于新问题和领域。这些需求包括高显示分辨率、亮度、对比度和尺寸;快速响应的高精度低延迟跟踪;易于使用新类型的数据;以及可靠性。虽然有几个数百万美元的系统存在,可能能够解决这些需求,这几个系统不匹配的建议显示?的色域,小的物理空间需求和较低的复制成本。通过最大限度地利用适当的全身、运动捕获的用户交互和手势,该系统预计将支持比当前3D点和点击棒驱动的CAVEsTM更自然和有效的数据交互。通过匹配或超过现代LCD监视器的感知质量,人类视觉系统将能够以更少的用户努力访问更多的显示信息。沉浸式立体显示器将与桌面显示器的感知分辨率以及上级亮度和对比度相结合。集成软件工具以快速创建虚拟现实应用程序将解决易用性和可靠性问题。新的工具预计将是简单的,支持一系列的显示,并提供丰富的支持手势交互。将建立一个监测程序,以查明相互作用的硬件和软件组件之间的潜在问题,以便在仪器延迟之前查明和解决问题。该系统的用户包括行星地质学家、系统生物学家、脑科学家、细胞和分子生物学家、研究动物运动(包括飞行)的生物学家、流体动力学家、研究动脉血液动力学的生物工程师、为科学家开发交互技术的视觉设计师、数字文学艺术家以及可视化和交互研究人员。在交互研究中,使用该系统的实验预计将建立适当水平的显示技术(例如,分辨率、交互性或立体显示)。这些技术、监控系统和软件环境将在SourceForge上发布,分别帮助加速全国范围内的科学进步、开发多显示器应用和确保可靠性。在教育许多学生的同时,该仪器预计将使上述用户的所有科学学科取得新的进展,包括更好地理解细胞、基因和蛋白质的运作(因此可以广泛地改善生活质量),动脉中和运动动物周围的液体行为,动物运动(这可能导致改进的仿生机车,浮动或飞行车辆),人类大脑的布线,它如何影响人类的能力,以及它如何降解;和火星。这些努力可能会产生新一代的科学家,他们可以更好地使用科学可视化来分析研究问题,计算机科学家更了解科学家?分析需求,以及可以加速沉浸式科学可视化工具设计过程的艺术家和设计师。
英文摘要
Proposal #: CNS 09-23393PI(s): Laidlaw, David H.; Hesthaven, Jan S.; Karnadiakis, George E.; van Dam, AndriesInstitution: Brown University Providence, RI 02912-9002Title: MRI/Dev.: Next-Generation Interactive Virtual-Reality Display Environment for Science This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Project Proposed:This project, developing a world-class interactive large-field-of-view 95 megapixel immersive virtual-reality environment, aims at creating a novel, demonstrably useful, rich, and expressive interaction, visualization, and analysis that truly leverage the human visual and motor systems in Virtual Reality (VR).This work intends to help accelerate scientific work, research into innovative visualization methods for accelerating science in the future, and even leverage the fundamental advantages of immersive large-field-of-view visualization and body-centric human-computer interaction. Two decades of research have established the value of immersive displays as a research tool in many scientific domains and has also identified a set of currently unmet needs that block application of such displays to new problems and domains. These needs encompass high display resolution, brightness, contrast, and size; fast, responsive tracking with high accuracy and low latency; ease of use in working with new kinds of data; and reliability. Although a few multi-million dollar systems exist that may be able to address these needs, these few systems do not match the proposed display?s color gamut, small physical space requirement, and lower replication cost. The system is expected to support more natural and effective interaction with data than the current 3D point-and-click wand driven CAVEsTM by maximally utilizing as appropriate full-body, motion-captured user interactions and gestures. More display information will be made accessible to the human visual system with less user effort by matching, or exceeding the perceptual qualities of a modern LCD monitor. An immersive stereo display will be integrated with the perceptual resolution of a desktop display and superior brightness and contrast. Integration of software tools for creating virtual-reality applications quickly will address ease-of-use and reliability. The new tools are expected to be simple, support a spectrum of displays, and provide rich support for gestural interaction. A monitoring process to identify potential problems among the interacting hardware and software components will be put in place to identify and address problems before instruments are delayed. Users of the system include planetary geologists, systems biologists, brain scientists, cell and molecular biologists, biologists studying animal motion (including flight), fluid dynamicists, bioengineers studying arterial hemodynamics, visual designers developing interactive techniques for scientists, digital literary artists, and visualization and interaction researchers. Within interaction research, experiments using the system are expected to establish the appropriate level of display technology (e.g., resolution, interactivity, or stereographic display) needed for different classes of scientific analysis. The techniques, monitoring system, and software environment will be distributed on SourceForge to respectively help accelerate scientific progress nationwide, for developing multi-display applications, and for ensuring reliability.Broader Impacts: While educating many students, the instrument is expected to enable new advances in all of the scientific disciplines of the users listed above, including a better understanding of the workings of cells and genes and proteins they contain (which could consequently improve quality of life broadly), behavior of fluids in arteries and around moving animals, animal locomotion (which could lead to improved biomimetic locomotive, floating, or flying vehicles), the wiring of the human brain, how it affects human capabilities, and how it can degrade; and Mars. The efforts are likely to produce a new generation of scientists who can better analyze research problems using scientific visualization, computer scientists more cognizant of scientists? analytical needs, and artists and designers who can accelerate the design process for immersive scientific visualization tools.
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CGV: Small: Collaborative Research: Immersive Visualization and 3D Interaction for Volume Data Analysis
  • 批准号:
    1319606
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2013
  • 负责人:
    David Laidlaw
  • 依托单位:
GV: Small: Collaborative Research: Supporting Knowledge Discovery through a Scientific Visualization Language
  • 批准号:
    1016623
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.16万
  • 财政年份:
    2010
  • 负责人:
    David Laidlaw
  • 依托单位:
DDDAS-TMRP: Interactive Data-driven Flow-Simulation Parameter Refinement for Understanding the Evolution of Bat Flight
  • 批准号:
    0540266
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2006
  • 负责人:
    David Laidlaw
  • 依托单位:
ITR: (ASE)-(sim+dmc+int): Computational Simulation, Modeling, and Visualization for Understanding Unsteady Bioflows
  • 批准号:
    0427374
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2004
  • 负责人:
    David Laidlaw
  • 依托单位:
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
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  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: