WiFi DensePose: Seeing Through Walls with WiFi Signals

📡 Seeing Through Walls with WiFi Signals

RuView (formerly WiFi DensePose) reconstructs human pose, detects vital signs, and recognizes presence through walls using only existing WiFi signals. No cameras. No wearables. Just physics.

🔍 How it works:

It analyzes Channel State Information (CSI) — variations in WiFi signal amplitude and phase caused by human movement.

🦾 Capabilities:

• 🦴 Pose estimation — DensePose UV maps at 54,000 fps (written in Rust)
• 💓 Vital signs — Respiratory rate (6-30 breaths/min) and heart rate (40-120 bpm) without wearables
• 🧱 Through-wall detection — Up to 5 meters depth
• 👥 Multiple people — Up to 3-5 with a single WiFi AP
• 🚨 Disaster response — Detects survivors and classifies severity (START triage)

💰 Affordable hardware: 3-6 ESP32-S3 modules (~$54 total). Quick start with Docker. MIT license.

💡 Quick explanation

When you move, your body blocks and reflects WiFi signals in specific ways. Software can analyze those subtle signal changes to “infer” your position and posture — no camera needed. It’s like using WiFi as a motion radar!

More information at the link 👇

GitHub - ruvnet/RuView: π RuView: WiFi DensePose turns commodity WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection — all without a single pixel of video.

π RuView: WiFi DensePose turns commodity WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection — …

github.com ↗