SurfaceVibe:在无处不在的表面上基于振动的点击和滑动跟踪

Shijia Pan, C. G. Ramirez, Mostafa Mirshekari, Jonathon Fagert, Albert Jin Chung, C. C. Hu, John Paul Shen, H. Noh, Pei Zhang
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引用次数: 42

摘要

触摸表面是计算设备的直观界面。大多数传统的触摸界面(视觉,红外,电容等)都有安装要求,导致专用触摸表面受到其尺寸,成本和移动性的限制。最近的研究表明,基于振动的触摸传感技术可以定位敲击声,这提供了一种低成本的灵活选择。这些表面被设想为应用程序的直观输入,如交互式会议桌,智能厨房电器控制等。然而,由于各种振动介质的色散和反射特性,在无处不在的表面上精确定位丝锥是困难的。此外,还没有通过振动传感跟踪连续滑动交互的工作。在本文中,我们提出了SurfaceVibe,一个基于振动的多表面类型交互跟踪系统。该系统考虑了不同波的物理特性,允许两种主要的交互类型:轻触和滑动。对于抽打诱发的类脉冲表面波,我们设计了一种考虑波色散和反射的算法,以实现无处不在的表面上的精确定位。对于滑动诱发的体波,SurfaceVibe将信号分割成“滑动脉冲”进行定位,然后跟踪轨迹。在本文中,我们通过不同材料和不同表面/传感面积大小的实验来验证SurfaceVibe。与不考虑波浪特性的现有算法相比,我们的方法将轻击定位误差降低了6倍,将滑动长度估计误差降低了3倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SurfaceVibe: Vibration-Based Tap & Swipe Tracking on Ubiquitous Surfaces
Touch surfaces are intuitive interfaces for computing devices. Most of the traditional touch interfaces (vision, IR, capacitive, etc.) have mounting requirements, resulting in specialized touch surfaces limited by their size, cost, and mobility. More recent work has shown that vibration-based touch sensing techniques can localize taps/knocks, which provides a low-cost flexible alternative. These surfaces are envisioned as intuitive inputs for applications such as interactive meeting tables, smart kitchen appliance control, etc. However, due to dispersive and reflective properties of various vibrating mediums, it is difficult to localize taps accurately on ubiquitous surfaces. Furthermore, no work has been done on tracking continuous swipe interactions through vibration sensing.In this paper, we present SurfaceVibe, a vibration-based interaction tracking system for multiple surface types. The system accounts for physics properties of different waves to allow two major interaction types: tap and swipe. For tap induced impulse-like surface waves, we design an algorithm that takes wave dispersion and reflection into account to achieve accurate localization on ubiquitous surfaces. For swipe induced body waves, SurfaceVibe segments signals into 'slip pulses' to localize, and then tracks the trajectory. We validate SurfaceVibe through experiments on different materials and varying surface/sensing area sizes in this paper. Our methods achieve up to 6X decrease in localization error for taps and 3X reduction in length estimation error for swipes compared to existing algorithms that do not take wave properties into account.
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