MaliosDark/wifi-3d-fusion

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1716 stars · 189 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

WiFi-3D-Fusion is an open-source research project that estimates 3D human pose from WiFi CSI (Channel State Information) signals using deep learning, optionally fusing wireless sensing with computer vision techniques. It combines Python/PyTorch models, ESP32 hardware for signal capture, and Three.js/Open3D for 3D visualization.

Use cases

• estimate 3D human pose from WiFi signals
• do through-wall motion sensing without cameras
• capture WiFi CSI with ESP32 devices
• research wireless sensing and deep learning
• visualize 3D human skeleton from RF signals
• fuse WiFi sensing with camera-based pose estimation
• privacy-preserving human activity recognition

When to choose

• you need camera-free, privacy-preserving human pose estimation
• you're researching WiFi CSI-based sensing with deep learning
• you have ESP32 hardware and want to experiment with RF-based motion capture
• you want to fuse wireless and visual sensing modalities

When to avoid

• you need production-grade, well-supported pose estimation
• you want a plug-and-play tool with no hardware setup
• you need a permissively licensed library (GPL-2.0, research-only)
• you lack WiFi CSI-capable hardware

Facets

application · maturity active

machine-learning deep-learning computer-vision nlp data-visualization developer-tools artificial-intelligence machine-learning computer-vision iot python cross-platform iot wifi-csi human-pose-estimation esp32 pytorch wireless-sensing 3d-pose research-project spatial-awareness signal-processing threejs research linux

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markdown · JSON · MCP: product_card(name="MaliosDark/wifi-3d-fusion")