feat: dual-modal WASM browser pose estimation demo (ADR-058)

Live webcam video + WiFi CSI fusion for real-time pose estimation.
Two parallel CNN pipelines (ruvector-cnn-wasm) with attention-weighted
fusion and dynamic confidence gating. Three modes: Dual, Video-only,
CSI-only. Includes pre-built WASM package (~52KB) for browser deployment.

- ADR-058: Dual-modal architecture design
- ui/pose-fusion.html: Main demo page with dark theme UI
- 7 JS modules: video-capture, csi-simulator, cnn-embedder, fusion-engine,
  pose-decoder, canvas-renderer, main orchestrator
- Pre-built ruvector-cnn-wasm WASM package for browser
- CSI heatmap, embedding space visualization, latency metrics
- WebSocket support for live ESP32 CSI data
- Navigation link added to main dashboard

Co-Authored-By: claude-flow <ruv@ruv.net>

ui/pose-fusion/pkg/ruvector_cnn_wasm/package.json

@@ -0,0 +1,26 @@
+{
+  "name": "ruvector-cnn-wasm",
+  "type": "module",
+  "description": "WASM bindings for ruvector-cnn - CNN feature extraction for image embeddings",
+  "version": "0.1.0",
+  "license": "MIT OR Apache-2.0",
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/ruvnet/ruvector"
+  },
+  "files": [
+    "ruvector_cnn_wasm_bg.wasm",
+    "ruvector_cnn_wasm.js"
+  ],
+  "main": "ruvector_cnn_wasm.js",
+  "sideEffects": [
+    "./snippets/*"
+  ],
+  "keywords": [
+    "cnn",
+    "embeddings",
+    "wasm",
+    "simd",
+    "machine-learning"
+  ]
+}