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RuView - WiFi DensePose — animated visualization of real-time pose estimation, breathing, and heart-rate sensing through WiFi

Picture published by the creator on GitHub.

Sense people and breathing in a room using ordinary WiFi

RuView reads the small disturbances people cause in the WiFi signals already filling a room and turns them into information about the space, such as whether someone is there and roughly what they are doing.

It uses Channel State Information (a low-level measurement ordinary WiFi chips already produce), captured by inexpensive ESP32 sensor boards. It publishes into Home Assistant over MQTT, and into Apple Home, Google Home and Alexa through a bridge. The README says it ships 21 values per sensor node and works through walls, and the project says it detects presence, breathing and heart rate without cameras.

Can I use this?

Runs in Docker on your computer

You'll need ESP32 sensor boards and a home automation setup · Setup needed

Worth knowing Every sensing claim here is the project’s own, and the ones about health matter most: breathing rate, heart rate, fall risk and distress detection are not medical measurements and nothing here is a medical device or a safety system to depend on. The physical reality also cuts both ways — a sensor that detects people through walls without a camera is a privacy question for everyone who enters the room, including people who never agreed to it. It needs hardware you buy and flash. The project’s own README says an earlier “100% presence” accuracy figure was retracted after it turned out to have been measured on a single-class recording. MIT licence. BuildTube has not run or verified this software.

Why it's here

  • 1,120 people starred it on GitHub this week — 96,194 in total.

Numbers from the snapshot taken 4 October 2026; not refreshed since.

Behind it

See the code on GitHub

BuildTube has not run or verified this project. Everything above is written from what the creator published.

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