ワークショップ (国内) Exploring Passive Activity Recognition using Multi-shot UWB CIRs

Han Lin (Tokyo Institute of Technology), Atsushi Nomura (Tokyo Institute of Technology), Kota Tsubouchi, Nobuhiko Nishio (Ritsumeikan University), Masamichi Shimosaka (Tokyo Institute of Technology)

情報処理学会ユビキタスコンピューティングシステム研究会 (IPSJ SIGUBI)


As a promising device-free solution, wireless sensing techniques have been applied to various applications, addressing privacy concerns associated with traditional computer vision-based methods. There has been limited research focusing on the use of UWB CIR for activity recognition, showing improved performance over Wi-Fi CSI. However, previous studies using one-shot CIR cannot correctly capture the variations inherent in dynamic activities. This research proposes a device-free activity recognition approach by utilizing multi-shot CIRs, consisting of several CIRs arranged in a time series, in order to cover the transition of activities. And three variants of wavelet denoising across various dimensions are introduced to remove noise on signal. Experiments were conducted with horizontal and vertical device settings to test the sensing performance in different scenarios. The results were also compared with Wi-Fi CSI at the same frequency to benchmark its effectiveness.

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