"timestamp": "2026-01-13T18:21:18.434Z",

"scannedAt": 1768328478434

"timestamp": "2026-01-13T18:13:18.428Z",

A specialized extension for **search and rescue operations** - detecting and localizing survivors trapped in rubble, earthquakes, and natural disasters.

| Feature | Description |

|---------|-------------|

| **Vital Signs Detection** | Breathing (4-60 BPM), heartbeat via micro-Doppler |

| **3D Localization** | Position estimation through debris up to 5m depth |

| **START Triage** | Automatic Immediate/Delayed/Minor/Deceased classification |

| **Real-time Alerts** | Priority-based notifications with escalation |

- Earthquake search and rescue

- Building collapse response

- Avalanche victim location

- Mine collapse detection

- Flood rescue operations

use wifi_densepose_mat::{DisasterResponse, DisasterConfig, DisasterType, ScanZone, ZoneBounds};

let config = DisasterConfig::builder()

.disaster_type(DisasterType::Earthquake)

.sensitivity(0.85)

.max_depth(5.0)

.build();

let mut response = DisasterResponse::new(config);

response.initialize_event(location, "Building collapse")?;

response.add_zone(ScanZone::new("North Wing", ZoneBounds::rectangle(0.0, 0.0, 30.0, 20.0)))?;

response.start_scanning().await?;

let immediate = response.survivors_by_triage(TriageStatus::Immediate);

println!("{} survivors require immediate rescue", immediate.len());

- **[WiFi-Mat User Guide](docs/wifi-mat-user-guide.md)** - Complete setup, configuration, and field deployment

- **[Architecture Decision Record](docs/adr/ADR-001-wifi-mat-disaster-detection.md)** - Design decisions and rationale

- **[Domain Model](docs/ddd/wifi-mat-domain-model.md)** - DDD bounded contexts and entities

**Build:**

cd rust-port/wifi-densepose-rs

cargo build --release --package wifi-densepose-mat

cargo test --package wifi-densepose-mat

- [Rust Implementation (v2)](#-rust-implementation-v2)

- [WiFi-Mat Disaster Response](#-wifi-mat-disaster-response-module)

Accepted

2026-01-13

Natural disasters such as earthquakes, building collapses, avalanches, and floods trap victims under rubble or debris. Traditional search and rescue methods using visual inspection, thermal cameras, or acoustic devices have significant limitations:

- **Visual/Optical**: Cannot penetrate rubble, debris, or collapsed structures

- **Thermal**: Limited penetration depth, affected by ambient temperature

- **Acoustic**: Requires victim to make sounds, high false positive rate

- **K9 Units**: Limited availability, fatigue, environmental hazards

WiFi-based sensing offers a unique advantage: **RF signals can penetrate non-metallic debris** (concrete, wood, drywall) and detect subtle human movements including breathing patterns and heartbeats through Channel State Information (CSI) analysis.

We need a modular extension to the WiFi-DensePose Rust implementation that:

1. Detects human presence in disaster scenarios with high sensitivity

2. Localizes survivors within rubble/debris fields

3. Classifies victim status (conscious movement, breathing only, critical)

4. Provides real-time alerts to rescue teams

5. Operates in degraded/field conditions with portable hardware

We will create a new crate `wifi-densepose-mat` (Mass Casualty Assessment Tool) as a modular addition to the existing Rust workspace with the following architecture:

The module follows DDD principles with clear bounded contexts:

- All survivor detections emit domain events

- Events enable audit trails and replay for post-incident analysis

- Supports distributed deployments with multiple scan teams

pub struct DetectionPipeline {

breathing_detector: BreathingDetector,

heartbeat_detector: HeartbeatDetector,

movement_classifier: MovementClassifier,

ensemble_classifier: EnsembleClassifier,

}

| Status | Detection Criteria | Priority |

|--------|-------------------|----------|

| Immediate (Red) | Breathing detected, no movement | P1 |

| Delayed (Yellow) | Movement + breathing, stable vitals | P2 |

| Minor (Green) | Strong movement, responsive patterns | P3 |

| Deceased (Black) | No vitals for >30 minutes continuous scan | P4 |

Supports multiple deployment scenarios:

- **Portable**: Single TX/RX with handheld device

- **Distributed**: Multiple APs deployed around collapse site

- **Drone-mounted**: UAV-based scanning for large areas

- **Vehicle-mounted**: Mobile command post with array

The module integrates with existing crates through adapters:

| Metric | Target | Rationale |

|--------|--------|-----------|

| Detection Latency | <500ms | Real-time feedback for rescuers |

| False Positive Rate | <5% | Minimize wasted rescue efforts |

| False Negative Rate | <1% | Cannot miss survivors |

| Penetration Depth | 3-5m | Typical rubble pile depth |

| Battery Life (portable) | >8 hours | Full shift operation |

| Concurrent Zones | 16+ | Large disaster site coverage |

- **Fail-safe defaults**: Always assume life present on ambiguous signals

- **Redundant detection**: Multiple algorithms vote on presence

- **Continuous monitoring**: Re-scan zones periodically

- **Offline operation**: Full functionality without network

- **Audit logging**: Complete trace of all detections

- Modular design allows independent development and testing

- DDD ensures domain experts can validate logic

- Event-driven enables distributed deployments

- Adapters isolate from upstream changes

- Compatible with existing WiFi-DensePose infrastructure

- Additional complexity from event system

- Learning curve for rescue teams

- Requires calibration for different debris types

- RF interference in disaster zones

| Risk | Mitigation |

|------|------------|

| Metal debris blocking signals | Multi-angle scanning, adaptive frequency |

| Environmental RF interference | Spectral sensing, frequency hopping |

| False positives from animals | Size/pattern classification |

| Power constraints in field | Low-power modes, solar charging |

- [WiFi-based Vital Signs Monitoring](https://dl.acm.org/doi/10.1145/3130944)

- [Through-Wall Human Sensing](https://ieeexplore.ieee.org/document/8645344)

- [START Triage Protocol](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3088332/)

- [CSI-based Human Activity Recognition](https://arxiv.org/abs/2004.03661)