Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers

ruv b861ff3441 deploy(nvsim): live Ghost Murmur WASM demo + ADR-093 gap analysis ... Adds 'Try it yourself' interactive section to the Ghost Murmur view: distance + heart-moment sliders that drive nvsim::Pipeline live via the new runTransient WASM export. Per-tier detectability bars compare predicted |B| vs each transport's noise floor (NV-ensemble lab, COTS DNV-B1, SQUID, 60 GHz mmWave, WiFi CSI). Witness for the transient run is shown alongside the canonical reference witness. Powered by ADR-093 gap analysis. Live at https://ruvnet.github.io/RuView/nvsim/		2026-04-26 21:20:55 -04:00
nvsim	deploy(nvsim): live Ghost Murmur WASM demo + ADR-093 gap analysis	2026-04-26 21:20:55 -04:00
observatory	fix: mobile responsive layout for Observatory	2026-03-05 13:00:25 -05:00
pose-fusion	deploy: rebrand DensePose → RuView in pose-fusion	2026-03-12 21:55:29 -04:00
ui	deploy: rebrand DensePose → RuView in pose-fusion	2026-03-12 21:55:29 -04:00
.nojekyll	fix: add .nojekyll to prevent Jekyll processing of WASM files	2026-03-12 14:38:57 -04:00
index.html	feat: deploy dual-modal pose fusion demo to GitHub Pages	2026-03-12 14:31:33 -04:00
pose-fusion.html	deploy: rebrand DensePose → RuView in pose-fusion	2026-03-12 21:55:29 -04:00