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WiFi DensePose: Production-Ready Implementation of InvisPose for Real-Time Through-Wall Human Pose Estimation Using Commercial Mesh Routers

WiFi DensePose is presented as a production-ready implementation of InvisPose, a groundbreaking WiFi-based system designed for dense human pose estimation. This revolutionary technology enables real-time, full-body tracking through walls by leveraging commercial mesh routers. The project, authored by ruvnet, was featured on GitHub Trending on February 17, 2026, highlighting its potential for advanced applications in various fields requiring non-line-of-sight human activity monitoring.

GitHub Trending

WiFi DensePose represents the production-ready implementation of InvisPose, a revolutionary system that utilizes WiFi technology for dense human pose estimation. This innovative solution allows for real-time, full-body tracking, even through walls, by harnessing the capabilities of commercial mesh routers. The project was developed by ruvnet and gained attention on GitHub Trending on February 17, 2026. The core concept behind WiFi DensePose is to leverage existing WiFi infrastructure to infer detailed human body postures, offering a significant advancement over traditional line-of-sight tracking methods. This capability opens up new possibilities for applications in areas such as security, elder care, gaming, and smart home environments, where unobtrusive and pervasive human activity monitoring is desired. The mention of 'production-ready' suggests that the system is robust and scalable for practical deployment.

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gogcli: Command-Line Interface for Google Suite - Manage Gmail, GCal, GDrive, and GContacts from Your Terminal

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