RuView: Real-Time Pose Fusion Goes Live
A massive dual-modal pose estimation demo lands with live ESP32 integration and all six RuVector WASM attention mechanisms. The team built a complete pipeline from WiFi sensing hardware to browser visualization, plus fixed critical firmware bugs and polished the user experience with responsive skeleton tracking.
Duration: PT4M34S
Episode overview
This episode is a short developer briefing from RuView.
It explains recent repository work in plain language.
- Show: RuView
- Published: 2026-03-13T10:12:46Z
- Audio duration: PT4M34S
Transcript excerpt
This excerpt keeps the crawler page concise. Listen to the episode or use the RSS feed for the full update.
Hey everyone, and welcome back to RuView! I'm your host, and wow - do we have an incredible episode for you today. Grab your favorite beverage because we're diving into some seriously cool stuff that's happening in the codebase.
So picture this - you're sitting in front of your computer, and through just your webcam and WiFi signals, the system can track your pose in real-time. Not just basic tracking, but sophisticated dual-modal fusion that combines video and WiFi channel state information. That's exactly what landed today, and I'm…
The star of today's show is this massive pose fusion demo that rUv has been crafting. We're talking about a complete end-to-end pipeline that goes from an ESP32 device sensing WiFi signals, through a WebSocket server, all the way to a browser running six different attention mechanisms in WebAssembly. It's like…
Let's talk about what makes this so special. The demo creates two parallel CNN pipelines - one processing your webcam feed, the other working with WiFi channel state information. These aren't just running side by side; they're doing attention-weighted fusion with dynamic confidence gating. You can switch between…
But the real technical…
The pose…
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