Mapped to a shared offline runtime family and usable with a recording or compatible ESP32 CSI stream.
Intended capability
Evaluate the sensing evidence for “Bathroom Hazard Forensics: Chronic Leak & Wet-Floor Risk Mapping” in a consented study using staged events and independent reference observations. This is not a care decision, fall prediction, emergency response, or proof of resident safety.
This describes the intended outcome. Readiness is shared-family mapped, evidence is class C, and a catalog mapping or recording is not proof of this outcome at a real site.
Solution blueprint
See the environment before installing it.
This exact kit is one of 191 first-class designs. It includes geometry, objects, nodes, wording, scenarios, installation, limitations, and catalog-bound readiness.
No rendered revision is available yet.
Bundled recording
A related Elderly scene
This is one recorded vertical scenario. It is not separate validation of every capability in the catalog.
01 The physics
Water ingress into drywall/subfloor raises local eps_r from ~2 toward 10-30+, adding picosecond-to-nanosecond excess delays on wall-penetrating paths and increasing attenuation (sigma). A chronic leak is a spatially fixed, monotonically growing dielectric anomaly — the exact complement of motion sensing, and it sits on the same hardware.
02 Shared processing path
CIR sparse recovery of wall-transiting path delays -> RFF/NeRF differential eps_r map vs. move-in baseline -> compartment Kalman per wall/floor voxel cluster + CUSUM over days-to-weeks for ingress drift -> cross-reference RTI walking paths to rank hazard by exposure.
This is a capability design path. Components may be shared with other catalog entries; it is not presented as a unique algorithm.
03 Validation plan
ESP32-wall dataset for wall-path characterization; own-hardware controlled wetting of a drywall test panel and subfloor section with graduated water volumes, tracking CIR delay drift vs. moisture meter ground truth over 3 weeks.
04 Commercial hypothesis
For senior-housing property operators and insurers: 'The same $100 room kit that watches for falls also finds the leak that causes them — moisture and slip-zone maps from the resident's own WiFi.'