Accurate and Real-time Deformation in Haptic Virtual Reality

触觉虚拟现实中准确实时的变形

基本信息

  • 批准号:
    0742700
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-09-01 至 2009-12-31
  • 项目状态:
    已结题

项目摘要

Simulation of deformable objects is central for progressing virtual reality research. The challenging task is to meet the conflicting demands of real-time interactions and accuracy. To generate natural 'feeling' from virtual reality, visual and haptic feedbacks require high refresh rates of 30 and 1000 Hz?C respectively. However, any physically accurate and realistic virtual object modeling is computationally expensive. The goals of this research project are as follows. 1) Development of new algorithms for accurate deformation of non-rigid virtual objects with a large number of vertices in real-time. The new algorithms will improve the Finite Element Method (FEM) which has physically accurate models but needs intensive computation. To meet the requirements of robustness and satisfactory visual results, the proposed model will be built based on a tetrahedral mesh structure. A preprocessing stage will be used to compute a set of elementary deformations of the model to obtain real-time performance. To simulate cutting in the dynamic deformation system, the model will be successively recomputed to remove the tetrahedron at the contacting places with haptics. 2) Simulation of deformable objects in real-time virtual reality applications. Two simulations will be developed: needle insertion into the skin for medical practices; and DNA extraction from agarose and polyacrylamide gels for biological experiments. 3) Testing and evaluating of the deformation to achieve optimal simulations, which will be performed by engineering, biology, and nursing students at Purdue University Calumet (PUC). The proposed research will improve the fundamental knowledge and enhance the realism and immersion of haptic virtual reality. The applications in this research will benefit medical practices and biological experiments. The simulation data will be used as a basis for developing future projects on virtual reality. The long term goals of the proposed research are to 1) advance the state-of-the-art virtual reality technologies, and 2) broaden the virtual reality applications in multiple areas such as education, health care, and manufacturing, as well as bring improvements in such issues as safety, time, space and equipment, and cost efficiency. Course enrichment and student involvement will enhance the engineering program at PUC, which is located in an economically disadvantaged region.
对虚拟现实研究的仿真对象的模拟是核心。具有挑战性的任务是满足实时互动和准确性的冲突要求。为了从虚拟现实产生自然的“感觉”,视觉和触觉反馈分别需要30和1000 Hz?c的较高刷新率。但是,任何物理上准确和现实的虚拟对象建模在计算上都是昂贵的。该研究项目的目标如下。 1)开发新算法,以实时对具有大量顶点的非刚性虚拟对象进行精确变形。新算法将改善具有物理上准确模型但需要密集计算的有限元方法(FEM)。为了满足鲁棒性和令人满意的视觉结果的要求,将根据四面体网状结构构建所提出的模型。预处理阶段将用于计算模型的一组基本变形,以获得实时性能。为了模拟动态变形系统中的切割,该模型将被连续重新计算,以在与触觉的接触位置上删除四面体。 2)在实时虚拟现实应用程序中模拟可变形对象。将开发两个模拟:将针插入皮肤中以进行医学练习;从琼脂糖和聚丙烯酰胺凝胶中提取DNA进行生物学实验。 3)对变形的测试和评估以实现最佳模拟,这将由普渡大学Calumet(PUC)的工程,生物学和护理学生进行。拟议的研究将改善基本知识,并增强触觉虚拟现实的现实主义和沉浸。这项研究中的应用将使医学实践和生物学实验受益。模拟数据将用作开发虚拟现实的未来项目的基础。拟议的研究的长期目标是1)提高最先进的虚拟现实技术,以及2)扩大在教育,医疗保健和制造等多个领域的虚拟现实应用,以及在安全,时间,空间和设备和成本效率等问题上改善。 课程丰富和学生参与将增强位于经济不满地区的PUC的工程计划。

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Xiaoli Yang其他文献

Protein Subcellular Localization Prediction by Combining ProtBert and BiGRU
结合 ProtBert 和 BiGRU 进行蛋白质亚细胞定位预测
Computer Based Karyotyping
基于计算机的核型分析
Prospect for TRMM in rainfall estimates: a case study in the Laohahe basin, China.
TRMM 在降雨量估算中的展望:以中国老哈河流域为例。
  • DOI:
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hong Wang;L. Ren;Xiaoli Yang
  • 通讯作者:
    Xiaoli Yang
Biomimetic Au nanodot synthesis using Escherichia coli secretion and interaction with α-ketoglutaric acid
利用大肠杆菌分泌和与α-酮戊二酸相互作用的仿生金纳米点合成
  • DOI:
    10.1007/s11427-019-1715-7
  • 发表时间:
    2020-06
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiaoxiao Xie;Xiaoli Yang;Yi Chang;Xiangli Ru;Xiaoming Ma;Lin Yang
  • 通讯作者:
    Lin Yang
Enhanced mechanical properties and biocompatibility on BC/HAp composite through calcium gluconate fortified bacterial
通过葡萄糖酸钙强化细菌增强 BC/HAp 复合材料的机械性能和生物相容性
  • DOI:
    10.1016/j.carbpol.2021.119085
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    11.2
  • 作者:
    Lin Shi;Tao Wang;Lei Yang;Chuntao Chen;Ran Dou;Xiaoli Yang;Bianjing Sun;Baojing Zhou;Lei Zhang a;Dongping Sun
  • 通讯作者:
    Dongping Sun

Xiaoli Yang的其他文献

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{{ truncateString('Xiaoli Yang', 18)}}的其他基金

Collaborative Research: A Semiconductor Curriculum and Learning Framework for High-Schoolers Using Artificial Intelligence, Game Modules, and Hands-on Experiences
协作研究:利用人工智能、游戏模块和实践经验为高中生提供半导体课程和学习框架
  • 批准号:
    2342748
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Collaborative Research: FW-HTF-P: IntelEUI: Artificial Intelligence and Extended Reality to Enhance Workforce Productivity for the Energy and Utilities Industry
合作研究:FW-HTF-P:IntelEUI:人工智能和扩展现实可提高能源和公用事业行业的劳动力生产力
  • 批准号:
    2302600
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
SaTC: EDU: Collaborative: INteractive VIsualization and PracTice basEd Cybersecurity Curriculum and Training (InviteCyber) Framework for Developing Next-gen Cyber-Aware Workforce
SATC:EDU:协作:基于交互式可视化和实践的网络安全课程和培训 (InviteCyber​​) 开发下一代网络意识劳动力的框架
  • 批准号:
    2245148
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Collaborative Research: FW-HTF-P: IntelEUI: Artificial Intelligence and Extended Reality to Enhance Workforce Productivity for the Energy and Utilities Industry
合作研究:FW-HTF-P:IntelEUI:人工智能和扩展现实可提高能源和公用事业行业的劳动力生产力
  • 批准号:
    2129092
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
SaTC: EDU: Collaborative: INteractive VIsualization and PracTice basEd Cybersecurity Curriculum and Training (InviteCyber) Framework for Developing Next-gen Cyber-Aware Workforce
SATC:EDU:协作:基于交互式可视化和实践的网络安全课程和培训 (InviteCyber​​) 开发下一代网络意识劳动力的框架
  • 批准号:
    1903423
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
    Standard Grant

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