WiTrace: Centimeter-Level Passive Gesture Tracking Using OFDM signals
WiTrace: Centimeter-Level Passive Gesture Tracking Using OFDM signals
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WiTrace：使用 OFDM 信号进行厘米级被动手势跟踪
DOI：
10.1109/tmc.2019.2961885
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发表时间：
--
影响因子：
7.9
通讯作者：
Qing Gu
中科院分区：
文献类型：
--
作者：
Lei Wang;Ke Sun;Haipeng Dai;Wei Wang;Kang Huang;Alex Liu;Xiaoyu Wang;Qing Gu
手势跟踪是控制设备（如IoT和VR/AR设备）的基本人机交互机制。然而，现有的基于OFDM信号的系统集中于手势识别，并且提供的结果精度不足，因此不能应用于高精度手势跟踪。在本文中，我们提出了一个基于CSI的无设备手势跟踪系统，称为WiTrace，它利用从OFDM信号中提取的CSI值，使准确的手势跟踪。对于1D跟踪，WiTrace从复合信号中推导出手反射信号的相位，并测量相位变化以获得移动距离。对于2D跟踪，WiTrace提出了第一个基于CSI的方案来精确估计初始位置，并采用基于连续维纳过程加速度模型的卡尔曼滤波器来进一步滤除跟踪噪声。我们的研究结果表明，WiTrace实现了平均精度为6.23厘米的初始位置估计，并达到厘米级的精度，平均跟踪误差为1.46厘米和2.09厘米的1D跟踪和2D跟踪，分别。
Gesture tracking is a basic Human-Computer Interaction mechanism to control devices, such as IoT and VR/AR devices. However, prior OFDM signal based systems focus on gesture recognition and provide results with insufficient accuracy, and thus, cannot be applied for high-precision gesture tracking. In this paper, we propose a CSI based device-free gesture tracking system, called WiTrace, which leverages the CSI values extracted from OFDM signals to enable accurate gesture tracking. For 1D tracking, WiTrace derives the phase of the signals reflected by the hand from the composite signals, and measures the phase changes to obtain the movement distance. For 2D tracking, WiTrace proposes the first CSI based scheme to accurately estimate the initial position, and adopts the Kalman Filter based on continuous Wiener process acceleration model to further filter out tracking noise. Our results show that WiTrace achieves an average accuracy of 6.23 cm for initial position estimation and achieves cm-level accuracy with average tracking errors of 1.46 cm and 2.09 cm for 1D tracking and 2D tracking, respectively.