Collaborative Research: HCC: Medium: "Unboxing" Haptic Texture Perception: Closing the Loop from Skin Contact Mechanics to Novel Haptic Device

合作研究:HCC:媒介:“拆箱”触觉纹理感知:闭合从皮肤接触力学到新型触觉设备的循环

基本信息

  • 批准号:
    2312153
  • 负责人:
  • 金额:
    $ 55.76万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-10-01 至 2026-09-30
  • 项目状态:
    未结题

项目摘要

Modern virtual-reality devices attempt to create a realistic sense of touch in the absence of physical surfaces and objects, but as of yet they fall short. Indeed, no existing interfaces for the sense of touch, known as “haptic interfaces," are capable of replicating one of the most fundamental aspects of touch: how a textured surface feels during direct skin contact. Interfaces that simulate contact through a tool eliminate features that are available only from skin contact, but the interfaces that do allow direct skin contact are currently insufficient to convey material and fine-grained structural details of surfaces. Put simply, they do not feel realistic. This project promotes the progress of science and technology by providing a new approach to the design of haptic devices aimed at producing highly realistic virtual textures, and it will take a step towards understanding touch perception that addresses a previously unstudied component: the detailed physical interaction between the skin and the surface it contacts. The development of our proposed haptic technology and further understanding of our sense of touch can benefit applications in human-machine interaction, such as creating more immersive virtual environments and improving the control of remote robots. There are also multiple applications in education and virtual-reality development, especially for blind and visually impaired people, that would benefit from advanced understanding of touch perception and better tools for creating virtual experiences. In addition, as we know from past technological developments in the basic science of perception, such as the study of hearing that led to cutting-edge audio interfaces, it is likely that we underestimate the technological advancements that will result from a better understanding of this powerful sense modality.This project will develop novel haptic technologies based on three complementary objectives: (1) Formulate models of the contact mechanics of human skin using direct imaging by “Optical Coherence Tomography” of the fingerpad sliding over a texture, coupled with Boundary Element and Finite Element Methods that can be used to characterize and model responses within the skin layers during interactions with texture. (2) Fabricate haptic devices that instantiate the model mechanisms and parameters, so as to recreate skin-texture interactions. These devices will include a pin array capable of spatially distributed, high-bandwidth control of normal and lateral excitation, as well as an electromagnetic haptic device that uses elastomers embedded with ferromagnetic particles to transmit perpendicular and shear forces to the user in response to controllable magnetic fields. (3) Validate and extend the models by means of human-user studies with both physical textures and the haptic devices of Objective 2, using psychophysical experimental techniques and broader haptic interface studies. This objective will test whether model-based actuation is sufficient to create rich haptic perceptual experience. Success will establish principles for realistic texture rendering in next generation haptic devices.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
现代虚拟现实设备试图在没有物理表面和物体的情况下创建一种现实的触觉,但截至截至截至截然不见。确实,没有现有的接触感(称为“触觉界面”)能够复制触摸的最根本方面之一:在直接皮肤接触期间纹理表面的感觉。通过工具模拟接触的界面消除了仅通过皮肤接触可用的功能,但是确实允许直接皮肤接触的界面不足以传达表面的材料和细粒度的结构细节。简而言之,他们没有现实。该项目通过为旨在生产高度逼真的虚拟纹理的触觉设备的设计提供了一种新的方法来促进科学和技术的进步,并且它将迈向理解触摸感知的一步,以解决以前未研究的组件:皮肤和表面接触的详细的物理互动。我们提出的触觉技术的发展以及对我们的接触感的进一步理解可以使人类机器互动中的应用有益,例如创造更多沉浸式的虚拟环境并改善对远程机器人的控制。在教育和虚拟现实发展中也有多种应用,尤其是对于盲人和视力障碍的人,这将受益于对触摸感知的深入了解,以及更好地创造虚拟体验的工具。此外,正如我们从感知基础科学的过去技术发展中所知道的,例如导致尖端音频界面的听力研究,我们可能会低估对这种强大意义的更好理解的技术进步,从而可以更好地理解这种强大的意义。该项目将基于三个完整的对象的新型触发技术来开发新的触发技术:(1)firection firf of Hulton Skinight of Hully Skinight of Hully Skinight''在纹理上滑动,再加上边界元素和有限元方法,这些方法可用于在与纹理的相互作用期间用来表征和建模皮肤层中的响应。 (2)制造实例化模型机制和参数的触觉设备,以重新创建皮肤纹理相互作用。这些设备将包括一个能够对正常和侧向兴奋的高带宽控制的销阵列,以及一种电磁触觉器件,该电磁触觉器件使用嵌入铁电磁颗粒嵌入的弹性体将垂直力和剪切力传递到对受控磁场的响应中。 (3)使用心理物理实验技术和更广泛的触觉界面研究,通过使用物理纹理和目标2的物理纹理和目标2的触觉设备来验证和扩展模型。该目标将测试基于模型的激活是否足以创造丰富的触觉感知体验。成功将在下一代触觉设备中建立现实纹理渲染的原则。该奖项反映了NSF的法定任务,并使用基金会的知识分子优点和更广泛的影响评估标准,被视为通过评估而被视为珍贵的支持。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Melisa Orta Martinez其他文献

Teaching With Hapkit: Enabling Online Haptics Courses With Hands-On Laboratories
使用 Hapkit 进行教学:通过动手实验室启用在线触觉课程
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    5.7
  • 作者:
    Tania. K. Morimoto;Melisa Orta Martinez;R. Davis;Paulo Blikstein;A. Okamura
  • 通讯作者:
    A. Okamura
Understanding Experiences, Attitudes and Perspectives towards Designing Interactive Creative Tools for Teachers of Visually Impaired Students
了解为视障学生教师设计互动创意工具的经验、态度和观点
SPEERLoom: An Open-Source Loom Kit for Interdisciplinary Engagement in Math, Engineering, and Textiles
SPEERLoom:用于数学、工程和纺织领域跨学科参与的开源 Loom 套件
Tactile tissue characterisation by piezoelectric systems
通过压电系统表征触觉组织
  • DOI:
    10.1007/s10832-007-9183-6
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    0
  • 作者:
    R. Stroop;D. O. Uribe;Melisa Orta Martinez;M. Brökelmann;T. Hemsel;J. Wallaschek
  • 通讯作者:
    J. Wallaschek

Melisa Orta Martinez的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Melisa Orta Martinez', 18)}}的其他基金

Collaborative Research: Increasing Capabilities of Heterogeneous Robot Teams through Mutually Beneficial Physical Interactions
协作研究:通过互利的物理交互提高异构机器人团队的能力
  • 批准号:
    2308654
  • 财政年份:
    2023
  • 资助金额:
    $ 55.76万
  • 项目类别:
    Standard Grant

相似国自然基金

iRGD偶联纳米载体双靶向ITGA5/NRP-1抑制HCC侵袭及细胞空间互作机制的研究
  • 批准号:
    82360569
  • 批准年份:
    2023
  • 资助金额:
    32.00 万元
  • 项目类别:
    地区科学基金项目
90Y联合Flt3L作为原位疫苗联合ICIs治疗HBV相关HCC机制研究
  • 批准号:
    82372067
  • 批准年份:
    2023
  • 资助金额:
    55 万元
  • 项目类别:
    面上项目
tRNAMet通过调控富含AUG密码子基因的蛋白翻译促进HCC发展的机制研究
  • 批准号:
    82373963
  • 批准年份:
    2023
  • 资助金额:
    48 万元
  • 项目类别:
    面上项目
ACSM3通过增加线粒体代谢通路抵抗NAFLD-HCC进展的机制研究
  • 批准号:
    82303234
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
靶向肿瘤anti-miRNAs上调JAK1/STAT1通路提高HCC对联合免疫治疗敏感的机制研究
  • 批准号:
    82373257
  • 批准年份:
    2023
  • 资助金额:
    48 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: HCC: Medium: Aligning Robot Representations with Humans
合作研究:HCC:媒介:使机器人表示与人类保持一致
  • 批准号:
    2310757
  • 财政年份:
    2023
  • 资助金额:
    $ 55.76万
  • 项目类别:
    Standard Grant
Collaborative Research: HCC: Small: End-User Guided Search and Optimization for Accessible Product Customization and Design
协作研究:HCC:小型:最终用户引导的搜索和优化,以实现无障碍产品定制和设计
  • 批准号:
    2327136
  • 财政年份:
    2023
  • 资助金额:
    $ 55.76万
  • 项目类别:
    Standard Grant
Collaborative Research: HCC: Small: Bridging Research and Visualization Design Practice via a Sustainable Knowledge Platform
合作研究:HCC:小型:通过可持续知识平台桥接研究和可视化设计实践
  • 批准号:
    2147044
  • 财政年份:
    2023
  • 资助金额:
    $ 55.76万
  • 项目类别:
    Standard Grant
Collaborative Research: HCC: Small: Computational Design and Application of Wearable Haptic Knits
合作研究:HCC:小型:可穿戴触觉针织物的计算设计与应用
  • 批准号:
    2301355
  • 财政年份:
    2023
  • 资助金额:
    $ 55.76万
  • 项目类别:
    Standard Grant
Collaborative Research: NSF-CSIRO: HCC: Small: Understanding Bias in AI Models for the Prediction of Infectious Disease Spread
合作研究:NSF-CSIRO:HCC:小型:了解预测传染病传播的 AI 模型中的偏差
  • 批准号:
    2302969
  • 财政年份:
    2023
  • 资助金额:
    $ 55.76万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了