feat: Sensing-only UI mode with Gaussian splat visualization and Rust migration ADR

- Add Python WebSocket sensing server (ws_server.py) with ESP32 UDP CSI
  and Windows RSSI auto-detect collectors on port 8765
- Add Three.js Gaussian splat renderer with custom GLSL shaders for
  real-time WiFi signal field visualization (blue→green→red gradient)
- Add SensingTab component with RSSI sparkline, feature meters, and
  motion classification badge
- Add sensing.service.js WebSocket client with reconnect and simulation fallback
- Implement sensing-only mode: suppress all DensePose API calls when
  FastAPI backend (port 8000) is not running, clean console output
- ADR-019: Document sensing-only UI architecture and data flow
- ADR-020: Migrate AI/model inference to Rust with RuVector ONNX Runtime,
  replacing ~2.7GB Python stack with ~50MB static binary
- Add ruvnet/ruvector as upstream remote for RuVector crate ecosystem

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

v1/src/sensing/backend.py

@@ -20,6 +20,7 @@ from v1.src.sensing.feature_extractor import RssiFeatureExtractor, RssiFeatures
 from v1.src.sensing.rssi_collector import (
     LinuxWifiCollector,
     SimulatedCollector,
+    WindowsWifiCollector,
     WifiCollector,
     WifiSample,
 )
@@ -89,7 +90,7 @@ class CommodityBackend:
 
     def __init__(
         self,
-        collector: LinuxWifiCollector | SimulatedCollector,
+        collector: LinuxWifiCollector | SimulatedCollector | WindowsWifiCollector,
         extractor: Optional[RssiFeatureExtractor] = None,
         classifier: Optional[PresenceClassifier] = None,
     ) -> None:
@@ -98,7 +99,7 @@ class CommodityBackend:
         self._classifier = classifier or PresenceClassifier()
 
     @property
-    def collector(self) -> LinuxWifiCollector | SimulatedCollector:
+    def collector(self) -> LinuxWifiCollector | SimulatedCollector | WindowsWifiCollector:
         return self._collector
 
     @property