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相关概念视频

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

311
A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
311

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Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
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基于学习的模型的开发和评估,用于实时触觉纹理染.

Negin Heravi, Heather Culbertson, Allison M Okamura

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    此摘要是机器生成的。

    本研究介绍了一种深度学习模型,用于在虚拟现实 (VR) 中实现现实的触觉纹理染. 该模型有效地为各种表面产生触觉振动,而不需要单独的纹理模型,增强VR沉浸感.

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    科学领域:

    • 机器人技术 机器人技术 机器人技术
    • 人与计算机的交互
    • 计算机图形 计算机图形

    背景情况:

    • 虚拟现实 (VR) 系统缺乏现实的触觉反,限制了用户的沉浸感.
    • 目前的触觉纹理染方法由于每个纹理模型的要求而不是可扩展的.

    研究的目的:

    • 开发一个通用的,动作条件深度学习模型,用于实时触觉纹理染.
    • 与现有方法相比,评估拟议模型的感知性能和可扩展性.

    主要方法:

    • 使用基于视觉的触觉传感器 (GelSight) 来捕获表面数据.
    • 开发了一个统一的,动作条件的深度学习模型,用于纹理染.
    • 采用高带宽的振动感应传感器来传递触觉反.

    主要成果:

    • 基于学习的方法在染高频纹理振动方面取得了同等或更高的质量.
    • 该模型展示了可扩展性,在没有每种纹理训练的情况下染多种纹理.
    • 使用单个GelSight图像成功染了以前看不见的纹理.

    结论:

    • 拟议的深度学习方法提供了一个可扩展和有效的解决方案,用于在虚拟现实中实现现实的触觉纹理染.
    • 这一进步通过提供精确的触觉感觉,显著提高了虚拟环境中的沉浸式体验.