WiDraw: Enabling Hands-free Drawing in the Air on Commodity WiFi Devices

Li Sun, Souvik Sen, Dimitrios Koutsonikolas, Kyu-Han Kim
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引用次数: 268

Abstract

This paper demonstrates that it is possible to leverage WiFi signals from commodity mobile devices to enable hands-free drawing in the air. While prior solutions require the user to hold a wireless transmitter, or require custom wireless hardware, or can only determine a pre-defined set of hand gestures, this paper introduces WiDraw, the first hand motion tracking system using commodity WiFi cards, and without any user wearables. WiDraw harnesses the Angle-of-Arrival values of incoming wireless signals at the mobile device to track the user's hand trajectory. We utilize the intuition that whenever the user's hand occludes a signal coming from a certain direction, the signal strength of the angle representing the same direction will experience a drop. Our software prototype using commodity wireless cards can track the user's hand with a median error lower than 5 cm. We use WiDraw to implement an in-air handwriting application that allows the user to draw letters, words, and sentences, and achieves a mean word recognition accuracy of 91%.
WiDraw:在商用WiFi设备上实现空中免提绘图
本文证明了利用商用移动设备的WiFi信号实现空中免提绘画是可能的。之前的解决方案需要用户手持无线发射器,或者需要定制无线硬件,或者只能确定一组预定义的手势,而本文介绍的WiDraw是第一个使用商用WiFi卡的手部运动跟踪系统,没有任何用户可穿戴设备。WiDraw利用移动设备传入无线信号的到达角值来跟踪用户的手部轨迹。我们利用这样的直觉:每当用户的手遮挡了来自某个方向的信号时,代表同一方向的角度的信号强度就会下降。我们的软件原型使用商品无线卡可以跟踪用户的手,中间误差低于5厘米。我们使用WiDraw实现了一个空中手写应用程序,允许用户绘制字母、单词和句子,并实现了91%的平均单词识别准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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