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Synapse
April 5, 20260 citations

Identification de personnes par transformateur via les perturbations d'amplitude et de phase du CSI Wi-Fi

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DADanilo AvolaABAndrea BernardiniFDFrancesco Danese

Key Points

  • To explore how amplitude and phase disturbances in CSI Wi-Fi can be used for identifying individuals.
  • Utilized transformer models to analyze CSI data.
  • Collected data from Wi-Fi signals under varying conditions.
  • Evaluated disturbance patterns in amplitude and phase.
  • Successfully identified individuals based on unique CSI patterns.
  • Demonstrated that both amplitude and phase disturbances contribute to accurate identification.
  • Found that transformer models outperformed traditional methods in this context.

Abstract

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Cite This Study

Avola et al. (2025) studied this question.

synapsesocial.com/papers/69d1fd73a79560c99a0a374ahttps://doi.org/10.18293/dmsviva2025-004
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Transformer-Based Person Identification via Wi-Fi CSI Amplitude and Phase Perturbations2025
  2. 2Time-Frequency Analysis of Variable-Length WiFi CSI Signals for Person Re-Identification2024
  3. 3Device-Free Indoor Localization of a Person Based on Channel State Information2024 · 1 citations
  4. 4PhaseShield: Adversarial Perturbation of WiFi Channel State Information for Privacy-Preserving Passive Sensing Mitigation2026
  5. 5DETECTION OF OBJECTS IN A WIFI NETWORK BY ANALYSIS OF CSI PARAMETERS2025