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Precise Haptic Device Co-Location for Visuo-Haptic Augmented Reality

机译:视觉触觉增强现实的精确触觉设备并置

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摘要

Visuo-haptic augmented reality systems enable users to see and touch digital information that is embedded in the real world. PHANToM haptic devices are often employed to provide haptic feedback. Precise co-location of computer-generated graphics and the haptic stylus is necessary to provide a realistic user experience. Previous work has focused on calibration procedures that compensate the non-linear position error caused by inaccuracies in the joint angle sensors. In this article we present a more complete procedure that additionally compensates for errors in the gimbal sensors and improves position calibration. The proposed procedure further includes software-based temporal alignment of sensor data and a method for the estimation of a reference for position calibration, resulting in increased robustness against haptic device initialization and external tracker noise. We designed our procedure to require minimal user input to maximize usability. We conducted an extensive evaluation with two different PHANToMs, two different optical trackers, and a mechanical tracker. Compared to state-of-the-art calibration procedures, our approach significantly improves the co-location of the haptic stylus. This results in higher fidelity visual and haptic augmentations, which are crucial for fine-motor tasks in areas such as medical training simulators, assembly planning tools, or rapid prototyping applications.
机译:Visuo-触觉增强现实系统使用户能够查看和触摸嵌入在现实世界中的数字信息。 PHANToM触觉设备通常用于提供触觉反馈。为了提供逼真的用户体验,必须精确放置计算机生成的图形和触觉手写笔。先前的工作集中在校准程序上,这些程序可以补偿由关节角度传感器的不准确引起的非线性位置误差。在本文中,我们提出了一个更完整的过程,该过程还可以补偿云台传感器中的误差并改善位置校准。所提出的过程进一步包括传感器数据的基于软件的时间对准以及用于位置校准的参考的估计方法,从而提高了对触觉设备初始化和外部跟踪器噪声的鲁棒性。我们设计的程序要求最少的用户输入以最大化可用性。我们对两个不同的PHANToM,两个不同的光学跟踪器和一个机械跟踪器进行了广泛的评估。与最新的校准程序相比,我们的方法显着改善了触觉笔的共位。这导致了更高保真度的视觉和触觉增强,这对于诸如医学训练模拟器,装配计划工具或快速原型应用等领域的精细运动任务至关重要。

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