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News Presenting our paper on Exploiting Periodic UWB CIRs for Robust Activity Recognition with Attention-aware Multi-level Wavelet at PerCom2025

Presenting our paper on Exploiting Periodic UWB CIRs for Robust Activity Recognition with Attention-aware Multi-level Wavelet at PerCom2025

2025/02/15 | NewsPresentations | 133 views |

The 23rd International Conference on Pervasive Computing and Communications (PerCom 2025) will be held on March 17th-21st in Washington DC, USA.
PerCom is the premier annual scholarly venue in pervasive computing and communications.

The following presentation will be delivered.

The Power of Periodicity: Exploiting Periodic UWB CIRs for Robust Activity Recognition with Attention-aware Multi-level Wavelet

Abstract:
In recent years, wireless sensing techniques, such as Wi-Fi and Ultra-Wideband (UWB) signals, have gained attention for activity recognition due to their ability to address privacy concerns associated with traditional computer vision methods. While UWB Channel Impulse Response (CIR) is believed to be a prominent approach as well as Wi-Fi Channel State Information (CSI), research on its application in activity recognition remains limited. Previous studies have not fully explored the brevity of single measurements or the potential for feature extraction from CIRs.

This paper presents a novel approach to robust device-free activity recognition by exploiting periodic UWB CIR samples. Utilizing multi-level wavelet packet decomposition (WPD) and a customized attention mechanism, the proposed method effectively combines multi-resolution features, improving recognition accuracy and reducing the need for extensive fine-tuning. Experiments conducted in various scenarios validate the performance of the proposed approach, with ablation studies demonstrating the importance of multi-resolution analysis over short-time Fourier transform (STFT) and highlighting the cost efficiency of the method.

The results of this study contribute to the development of a device-free behavior recognition system that aims to balance privacy protection with high recognition accuracy, while also demonstrating new possibilities for expanding the application scope of future wireless sensing technologies.

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Presentation information(Program)

2025/3/20 (Thu) 13:30-15:10 Session 6: Learning and Activity Recognition
Title:The Power of Periodicity: Exploiting Periodic UWB CIRs for Robust Activity Recognition with Attention-aware Multi-level Wavelet
Authors:Han Lin (Institute of Science Tokyo, Japan)Atsushi Nomura (Institute of Science Tokyo, Japan), Kota Tsubouchi (LY Corporation, Japan), Nobuhiko Nishio (Ritsumeikan University, Japan), Masamichi Shimosaka (Institute of Science Tokyo, Japan)
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