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A Short Overview of Multi-Modal Wi-Fi Sensing

arXiv 2505.06682 ↗First posted 10 May 2025eess.SP cs.AIcited by 0

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Abstract (arXiv)

Wi-Fi sensing has emerged as a significant technology in wireless sensing and Integrated Sensing and Communication (ISAC), offering benefits such as low cost, high penetration, and enhanced privacy. Currently, it is widely utilized in various applications, including action recognition, human localization, and crowd counting. However, Wi-Fi sensing also faces challenges, such as low robustness and difficulties in data collection. Recently, there has been an increasing focus on multi-modal Wi-Fi sensing, where other modalities can act as teachers, providing ground truth or robust features for Wi-Fi sensing models to learn from, or can be directly fused with Wi-Fi for enhanced sensing capabilities. Although these methods have demonstrated promising results and substantial value in practical applications, there is a lack of comprehensive surveys reviewing them. To address this gap, this paper reviews the multi-modal Wi-Fi sensing literature from the past 24 months and highlights the current limitations, challenges and future directions in this field.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 26 of its 65 references that are in the map. First posted on arXiv 10 May 2025.

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References · 26

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14 more
  1. 2025WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communicationcited by 40
  2. 2024Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensingcited by 15
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  14. 2024ViFi-ReID: A Two-Stream Vision-WiFi Multimodal Approach for Person Re-identificationcited by 1

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