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
- A Wi-Fi signal leaves the router and reaches your client plus dozens of reflected paths;
- Some paths pass through walls or doors and bounce off objects (and people) in the next room;
- When someone moves behind a wall, those paths change slightly → the measured CSI changes;
- 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
- Research such as "DensePose from WiFi" [6] reconstructs coarse human pose from CSI — with multiple antennas, controlled setups, and heavy models. It is not a consumer feature.
- Papers on "through-wall" sensing typically report results in single-family homes with drywall, and accuracy drops sharply with concrete or metal.
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:
- only sense spaces you own or where people consented;
- state clearly that behaviour can be inferred even without images;
- mention mitigation options in shared spaces.
Practical takeaways
- Motion detection through a single drywall: realistic, and our capture shows it clearly in the amplitude heatmap;
- Presence of a still person through a wall: unreliable (needs respiration micro-motion);
- 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.
- 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). - 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). - 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. - 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. - 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. - 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.