ruv
8b57a6f64c
docs: update README with ADR-045–048, Observatory, adaptive classifier, AMOLED display
...
- Update ADR count from 44 to 48
- Add adaptive classifier (ADR-048) to Intelligence features
- Add Observatory visualization (ADR-047) and AMOLED display (ADR-045) to Deployment features
- Update screenshot to v2-screen.png
- Add ADR-045 (AMOLED), ADR-046 (Android TV), ADR-047 (Observatory), DDD deployment model
- Add AMOLED display firmware (display_hal, display_task, display_ui, LVGL config)
- Add Observatory UI (13 Three.js modules, CSS, HTML entry point)
- Add trained adaptive model JSON
- Update .gitignore for managed_components, recordings, .swarm
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-05 10:20:48 -05:00
ruv
2ad510782e
docs: add 4 DDD domain models covering all major subsystems
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Create complete Domain-Driven Design specifications for:
- Signal Processing (3 contexts: CSI Preprocessing, Feature Extraction, Motion Analysis)
- Training Pipeline (4 contexts: Dataset Management, Model Architecture, Training Orchestration, Embedding & Transfer)
- Hardware Platform (5 contexts: Sensor Node, Edge Processing, WASM Runtime, Aggregation, Provisioning)
- Sensing Server (5 contexts: CSI Ingestion, Model Management, CSI Recording, Training Pipeline, Visualization)
Update DDD index (3 → 7 models) and README docs table.
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-03 17:39:57 -05:00
ruv
8658cc3de0
docs: improve RuvSense domain model and add DDD index
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- Add intro explaining DDD purpose and bounded context overview table
- Add Edge Intelligence bounded context (#7 ) for on-device sensing
- Add ubiquitous language terms: Edge Tier, WASM Module
- Fix frame rate 20 Hz -> 28 Hz (measured on hardware)
- Link each context to its source files and ADRs
- Add NVS configuration table and invariants for edge processing
- Create docs/ddd/README.md introducing all 3 domain models
- Update main README docs table to link to DDD index
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-03 17:02:39 -05:00
ruv
e94c7056f2
feat: add ADR-042 CHCI protocol, 24 new edge modules, README restructure
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- ADR-042: Coherent Human Channel Imaging (non-CSI sensing protocol)
with DDD domain model (6 bounded contexts)
- 24 new WASM edge modules: medical (5), retail (5), security (5),
building (5), industrial (5), exotic (8)
- README: plain-language rewrites, moved detail sections below TOC,
added edge module links to use case tables, firmware release docs
- User guide: firmware release table, edge intelligence documentation
- .gitignore: added rules for wasm, esp32 temp files, NVS binaries
- WASM edge crate: cargo config, integration tests, module registry
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-03 11:35:57 -05:00
Claude
c707b636bd
docs: add RuvSense persistent field model, exotic tiers, and appliance categories
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Expands the RuvSense architecture from pose estimation to spatial
intelligence platform with persistent electromagnetic world model.
Research (Part II added):
- 7 exotic capability tiers: field normal modes, RF tomography,
intention lead signals, longitudinal biomechanics drift,
cross-room continuity, invisible interaction layer, adversarial detection
- Signals-not-diagnoses framework with 3 monitoring levels
- 5 appliance product categories: Invisible Guardian, Spatial Digital Twin,
Collective Behavior Engine, RF Interaction Surface, Pre-Incident Drift Monitor
- Regulatory classification (consumer wellness → clinical decision support)
- Extended acceptance tests: 7-day autonomous, 30-day appliance validation
ADR-030 (new):
- Persistent field model architecture with room eigenstructure
- Longitudinal drift detection via Welford statistics + HNSW memory
- All 5 ruvector crates mapped across 7 exotic tiers
- GOAP implementation priority: field modes → drift → tomography → intent
- Invisible Guardian recommended as first hardware SKU vertical
DDD model (extended):
- 3 new bounded contexts: Field Model, Longitudinal Monitoring, Spatial Identity
- Full aggregate roots, value objects, domain events for each context
- Extended context map showing all 6 bounded contexts
- Repository interfaces for field baselines, personal baselines, transitions
- Invariants enforcing signals-not-diagnoses boundary
https://claude.ai/code/session_01QTX772SDsGVSPnaphoNgNY
2026-03-02 01:59:21 +00:00
Claude
25b005a0d6
docs: add RuvSense sensing-first RF mode architecture
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Research, ADR, and DDD specification for multistatic WiFi DensePose
with coherence-gated tracking and complete ruvector integration.
- docs/research/ruvsense-multistatic-fidelity-architecture.md:
SOTA research covering bandwidth/frequency/viewpoint fidelity levers,
ESP32 multistatic mesh design, coherence gating, AETHER embedding
integration, and full ruvector crate mapping
- docs/adr/ADR-029-ruvsense-multistatic-sensing-mode.md:
Architecture decision for sensing-first RF mode on existing ESP32
silicon. GOAP integration plan (9 actions, 4 phases, 36 cost units).
TDMA schedule for 20 Hz update rate from 4-node mesh.
IEEE 802.11bf forward-compatible design.
- docs/ddd/ruvsense-domain-model.md:
Domain-Driven Design with 3 bounded contexts (Multistatic Sensing,
Coherence, Pose Tracking), aggregate roots, domain events, context
map, anti-corruption layers, and repository interfaces.
Acceptance test: 2 people, 20 Hz, 10 min stable tracks, zero ID swaps,
<30mm torso keypoint jitter.
https://claude.ai/code/session_01QTX772SDsGVSPnaphoNgNY
2026-03-02 00:17:30 +00:00
Claude
a17b630c02
feat: Add wifi-densepose-mat disaster detection module
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Implements WiFi-Mat (Mass Casualty Assessment Tool) for detecting and
localizing survivors trapped in rubble, earthquakes, and natural disasters.
Architecture:
- Domain-Driven Design with bounded contexts (Detection, Localization, Alerting)
- Modular Rust crate integrating with existing wifi-densepose-* crates
- Event-driven architecture for audit trails and distributed deployments
Features:
- Breathing pattern detection from CSI amplitude variations
- Heartbeat detection using micro-Doppler analysis
- Movement classification (gross, fine, tremor, periodic)
- START protocol-compatible triage classification
- 3D position estimation via triangulation and depth estimation
- Real-time alert generation with priority escalation
Documentation:
- ADR-001: Architecture Decision Record for wifi-Mat
- DDD domain model specification
2026-01-13 17:24:50 +00:00
