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One-Sided CSI-Based Sensing in Adversarial Through-Wall Settings

Bakanas, Vytautas (2025) One-Sided CSI-Based Sensing in Adversarial Through-Wall Settings.

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Abstract:Wi-Fi signals can reveal patterns of human activity by analyzing how move- ment disturbs signal propagation. While prior work on Channel State Infor- mation (CSI) has shown promise for indoor activity recognition, it typically assumes sensor placement within the monitored environment or in adjacent rooms. This study investigates a more constrained and privacy-sensitive sce- nario: can activity inside a home be inferred using low-cost wireless devices placed entirely outside, with no interior access? Using a custom active sens- ing setup, we collected over 600 minutes of CSI data across two residential apartments, capturing room-level presence under varying wall materials, device placements, and participant behavior. We evaluated multiple learn- ing strategies—including supervised, unsupervised, and semi-supervised models—to assess the feasibility of inferring interior activity from exterior signals. Results show that room-level localization is achievable even through thick residential walls, though performance varies substantially with envi- ronmental structure and sensor configuration. These findings demonstrate the viability of a previously unexplored form of passive activity inference and raise important questions about wireless privacy in domestic settings.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/107315
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