Mapped to a shared offline runtime family and usable with a recording or compatible ESP32 CSI stream.
Intended capability
Evaluate the sensing evidence for “Walker & Cane Compliance Tracking (the 'Left It Behind' Alert)” 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
An aluminum walker is an electrically large metallic scatterer at 2.4/5GHz: it produces strong, geometrically rigid specular returns. When used, its reflection track is spatially locked to the person's RTI track and its micro-Doppler shows the characteristic lift-place or rolling cadence phase-locked to gait; when abandoned, a strong static scatterer persists in the NeRF map at one location while an un-augmented (faster micro-Doppler limb signature, no rigid co-moving return) walking track appears elsewhere.
02 Shared processing path
RFF/NeRF reconstruction identifies and fingerprints the high-sigma metal object -> RTI tracks person and scatterer positions jointly -> co-movement correlation + micro-Doppler cadence coupling classifier -> per-bout compliance score, CUSUM on weekly compliance rate.
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
Machine-vs-human discrimination already proven (class A) shows rigid-body vs. biological Doppler separation works; own-hardware experiment: scripted walks with/without walker in a furnished room, target >90% bout-level accuracy; cross-check activity segments in OPERAnet.
04 Commercial hypothesis
For rehab/PT directors and fall-committee chairs: 'Your fall-prevention plan says walker, always — we tell you every time they leave it by the bed.'