Fall Feature Simulation and Wi-Fi Sensing Dataset Construction Based on Time-domain Digital Coding Metasurface

CHEN Shaonan; GU Jiaming; XU Chao; SUN Yimiao; WANG Siran; CHEN Zhanye; LIU Shuo; LI Huidong; DAI Junyan; HE Yuan; CHENG Qiang

doi:10.12000/JR24247

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CHEN Shaonan, GU Jiaming, XU Chao, et al. Fall feature simulation and Wi-Fi sensing dataset construction based on time-domain digital coding metasurface[J]. Journal of Radars, in press. doi: 10.12000/JR24247

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CHEN Shaonan, GU Jiaming, XU Chao, et al. Fall feature simulation and Wi-Fi sensing dataset construction based on time-domain digital coding metasurface[J]. Journal of Radars, in press. doi: 10.12000/JR24247

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Fall Feature Simulation and Wi-Fi Sensing Dataset Construction Based on Time-domain Digital Coding Metasurface

DOI: 10.12000/JR24247 CSTR: 32380.14.JR24247

CHEN Shaonan¹,
GU Jiaming^{2, 3},
XU Chao^{2, 3},
SUN Yimiao^{2, 3},
WANG Siran¹,
CHEN Zhanye¹,
LIU Shuo¹,
LI Huidong¹,
DAI Junyan^{1
,
,},
HE Yuan^{2, 3},
CHENG Qiang^{1
,
,}

1.
State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210000, China
2.
School of Software, Tsinghua University, Beijing 100084, China
3.
Beijing National Research Center for Information Science and Technology (Tsinghua University), Beijing 100084, China

Funds: This work is supported by the National Key Research and Development Program of China (2023YFB3811504, 2023YFB3811502, 2024YFB2907800), the National Science Foundation (NSFC) for Distinguished Young Scholars of China (62225108), the Fundamental Research Funds for the Central Universities (2242022k60003), the National Natural Science Foundation of China (62288101, 62201139, U22A2001), the Jiangsu Provincial Scientific Research Center of Applied Mathematics (BK20233002), the Jiangsu Science and Technology Research Plan (BK20243028), and the Fundamental Research Funds for the Central Universities (2242024RCB0005)

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Corresponding author: DAI Junyan, junyand@seu.edu.cn; CHENG Qiang, qiangcheng@seu.edu.cn
Received Date: 2024-12-11
Rev Recd Date: 2025-02-27

Available Online: 2025-03-02

Abstract

Abstract

With the widespread application of Wi-Fi sensing technology in intelligent health monitoring, constructing high-quality perception datasets has become a key challenge. Particularly in monitoring abnormal behaviors, such as falls, traditional methods rely on repeated human experiments, which not only poses safety risks but also raises ethical concerns. To address these issues, this paper proposes a time-domain digital coding metasurface-assisted data acquisition method. By simulating the Doppler effect and micro-Doppler characteristics of the human body, the time-domain digital coding metasurface can effectively replace human experiments and assist in constructing Wi-Fi sensing datasets. To verify the feasibility of this method, we develop a time-domain digital coding metasurface with 0°–360° full-phase modulation capability. Experimental results show that the signals generated by the metasurface retain the motion characteristics of the human body, complement real samples, reduce the complexity of data collection, and finally improve the monitoring accuracy of the classification model significantly. This method provides an innovative and feasible solution for data acquisition for Wi-Fi sensing technology.
- Wi-Fi sensing,
- Time-domain digital coding metasurface,
- Motion feature generation,
- Dataset construction,
- LeNet-based classification network

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References

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