# MaliosDark/wifi-3d-fusion

WiFi-3D-Fusion is an open-source research project that leverages WiFi CSI signals and deep learning to estimate 3D human pose, fusing wireless sensing with computer vision techniques for next-generation spatial awareness.

Repository: https://github.com/MaliosDark/wifi-3d-fusion
Canonical: https://ross.abutalabs.com/products/wifi-3d-fusion
Language: Python
License: NOASSERTION
License Family: other
Last push: 2025-08-26T21:22:46+00:00

## Health v2 (maintenance only)
Score: 27/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 38, release rhythm 12, longevity 27
- inputs: {"age_days": 379, "days_push": 372, "days_rel": 373, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1716, forks 189 (observed 2026-08-28T04:05:26.324896+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: machine-learning, deep-learning, computer-vision, nlp, data-visualization, developer-tools
- domain: artificial-intelligence, machine-learning, computer-vision, iot
- platform: python, cross-platform, iot
- tags: wifi-csi, human-pose-estimation, esp32, pytorch, wireless-sensing, 3d-pose, research-project, spatial-awareness, signal-processing, threejs, research, linux

## Member repositories
- MaliosDark/wifi-3d-fusion (main) score 27

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:26.324896+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:34:14.820443+00:00, confidence not recorded.
  - readme: https://github.com/MaliosDark/wifi-3d-fusion (fetched 2026-08-28T04:05:26.324896+00:00, sha d9f0f0d7b9fa)
- Data as of 2026-08-30T08:39:29.467469+00:00.