SoundTrak
SoundTrak
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DOI：
10.1145/3090095
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发表时间：
2017-06
影响因子：
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通讯作者：
Cheng Zhang;Qiuyue Xue;Anandghan Waghmare;Sumeet Jain;Yiming Pu;Sinan Hersek;Kent Lyons;K. Cunefare;O. Inan;G. Abowd
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文献类型：
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作者：
Cheng Zhang;Qiuyue Xue;Anandghan Waghmare;Sumeet Jain;Yiming Pu;Sinan Hersek;Kent Lyons;K. Cunefare;O. Inan;G. Abowd
可穿戴设备的小尺寸限制了可能的用户交互的效率和范围，因为输入通常仅限于两个维度：触摸屏表面。我们推出了 SoundTrak，这是一种主动声学传感技术，使用户能够通过高分辨率连续跟踪手指位置来与周围 3D 空间中的可穿戴设备进行交互。用户佩戴一个嵌入微型扬声器的戒指，以特定频率（例如 11 kHz）发送声音信号，该信号由目标可穿戴设备上的一系列微型、廉价麦克风捕获。设计了一种新颖的算法，通过从接收到的声学信号中提取相位信息来定位手指在 3D 空间中的位置。我们在智能手表周围的空间体积 (20cm × 16cm × 11cm) 中评估了 SoundTrak，结果显示平均精度为 1.3 厘米。我们报告了 10 名参与者参与的费茨定律实验的结果，作为对实时原型的评估。我们还展示了这种 3D 输入技术支持的一组应用程序，并展示了广泛使用之前需要解决的实际挑战。
The small size of wearable devices limits the efficiency and scope of possible user interactions, as inputs are typically constrained to two dimensions: the touchscreen surface. We present SoundTrak, an active acoustic sensing technique that enables a user to interact with wearable devices in the surrounding 3D space by continuously tracking the finger position with high resolution. The user wears a ring with an embedded miniature speaker sending an acoustic signal at a specific frequency (e.g., 11 kHz), which is captured by an array of miniature, inexpensive microphones on the target wearable device. A novel algorithm is designed to localize the finger’s position in 3D space by extracting phase information from the received acoustic signals. We evaluated SoundTrak in a volume of space (20cm × 16cm × 11cm) around a smartwatch, and show an average accuracy of 1.3 cm. We report on results from a Fitts’ Law experiment with 10 participants as the evaluation of the real-time prototype. We also present a set of applications which are supported by this 3D input technique, and show the practical challenges that need to be addressed before widespread use.