Wi-Fi sensing through walls: what is physically real, and what is not

2026-10-11 · 2 min read

"Wi-Fi can see through walls" is the headline that made Wi-Fi sensing famous. It is also the claim most often misunderstood. Here is the separation between physics and marketing.

What actually happens

  1. A Wi-Fi signal leaves the router and reaches your client plus dozens of reflected paths;
  2. Some paths pass through walls or doors and bounce off objects (and people) in the next room;
  3. When someone moves behind a wall, those paths change slightly → the measured CSI changes;
  4. A receiver-side algorithm notices the change — that is the "seeing".

What you get is a motion signal, not an image. You cannot reconstruct a body, a face, or a text message. With many antennas and a controlled setup, research can reconstruct coarse pose — but that is research, and largely a preprint today [6].

The motion → channel-change mechanism itself was demonstrated rigorously as early as 2013 (a custom MIMO array detecting motion through a wall) [3].

Attenuation reality check

Obstacle 2.4 GHz 5 GHz Effect on sensing
Drywall / wood door low loss moderate usable motion signal
Brick moderate high weak but sometimes usable
Concrete with rebar high very high usually unusable
Metal / water tank / mirror reflector strong reflector creates dead zones and false motion

Material attenuation in this frequency range has been measured and modelled in peer-reviewed work [4].

Also: the transmitter side matters. If the person is between the router and the client, the signal is strong; if they are two walls away, you are relying on weak reflected paths.

What research actually shows

The privacy side (and why you should write about it)

Wi-Fi sensing is easy to deploy covertly: a router or a laptop can sense a room without a camera. That is why research on RF privacy exists — for example the "CSI-MURDER" project, which studies how to jam or mask CSI-based sensing [5] — and why standards work (IEEE 802.11bf for WLAN Sensing [2]) treats privacy as a design question (survey context: [1]).

If you publish Wi-Fi sensing content, include the ethical frame:

Practical takeaways

  1. Motion detection through a single drywall: realistic, and our capture shows it clearly in the amplitude heatmap;
  2. Presence of a still person through a wall: unreliable (needs respiration micro-motion);
  3. Imaging/identity: not a consumer capability — treat such claims as marketing.

Related: Wi-Fi CSI radar · explained · dataset

References and data sources

Every external claim carries a source and an evidence grade (grading scheme). Grade E marks first-party, reproducible measurements from this project.

  1. Grade A · standard/review WiFi Sensing with Channel State Information: A Survey
    W. Ma, W. Zhou, X. Wang · ACM Computing Surveys · 2019
    doi:10.1145/3310194 · citations 857 · verified: CrossRef API, 2026-10-11 · The field's most-cited CSI sensing survey (857 citations, verified via CrossRef).
  2. Grade A · standard/review IEEE 802.11bf — WLAN Sensing (standard project)
    IEEE Standards Association · IEEE 802.11 Working Group · 2020
    standards.ieee.org/ieee/802.11bf/10331/ · verified: standards.ieee.org HTTP 200, 2026-10-11 · Official project page for turning sensing into a WLAN standard capability (approved September 2020).
  3. Grade B · peer-reviewed See through walls with WiFi!
    F. Adib, D. Katabi · ACM SIGCOMM 2013 · 2013
    doi:10.1145/2486001.2486039 · citations 491 · verified: CrossRef API, 2026-10-11 · A landmark through-wall paper (491 citations): a custom MIMO array doing through-wall motion detection / coarse localisation — a controlled experiment, not consumer imaging.
  4. Grade B · peer-reviewed Measurement and Modeling of Penetration Loss in the Range from 2 GHz to 74 GHz
    Y. Du, C. Cao, X. Zou, J. He · 2016 IEEE Globecom Workshops (GC Wkshps) · 2016
    doi:10.1109/glocomw.2016.7848958 · citations 18 · verified: CrossRef API, 2026-10-11 · Measured and modelled penetration loss for common building materials above 2 GHz — used here to bound how much a wall attenuates.
  5. Grade B · peer-reviewed CSI-MURDER: Prevent WiFi CSI from being used to survey environments
    University of Brescia (project page) · 2024
    ans.unibs.it/projects/csi-murder/ · verified: project page HTTP 200, 2026-10-11 · Academic project on jamming/masking CSI sensing, for privacy-protection research.
  6. Grade D · preprint/wiki DensePose From WiFi
    J. Geng, D. Huang, F. De la Torre · arXiv preprint arXiv:2301.00250 · 2023
    arxiv.org/abs/2301.00250 · verified: arXiv abs page HTTP 200, 2026-10-11 · Preprint: coarse human pose reconstruction from multi-antenna CSI, a controlled-setting study that does not imply consumer capability.