SoundWrite:通过移动声学传感在表面上输入文本

Maotian Zhang, Panlong Yang, Chang Tian, Lei Shi, Shaojie Tang, Fu Xiao
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引用次数: 27

摘要

与爆炸式增长的移动设备交互正变得势在必行。本文介绍了SoundWrite,一种移动声学传感系统,可以在没有任何附件的情况下将文本输入到商用现成设备中。SoundWrite利用嵌入式麦克风捕捉从在常见表面(例如,键盘)上书写文本时发出的细微音频信号。如木桌)。然后从接收信号的时间和频率信息中提取可区分的特征来识别文本。我们将SoundWrite作为Android应用程序在智能手机上进行原型设计,并进行深入评估。评价结果验证了SoundWrite算法的有效性和鲁棒性,平均识别准确率达到90%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SoundWrite: Text Input on Surfaces through Mobile Acoustic Sensing
Interacting with explosively growing mobile devices is becoming imperative. This paper presents SoundWrite, a mobile acoustic sensing system that enables text input into commercial off-the-shelf devices without any accessories. SoundWrite leverages the embedded microphone to capture subtle audio signals emitted from writing text on common found surfaces (eg., a wood table). It then extracts distinguishable features from both time and frequency information of received signals to recognize the text. We prototype SoundWrite on Smartphones as an Android application, and perform in-depth evaluation. The evaluation results validate the effectiveness and robustness of SoundWrite, and demonstrate that it could achieve an average recognition accuracy of above 90%.
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