A frontier proposal with a validation plan, not an implemented detector.
Intended capability
Evaluate the sensing evidence for “Taught-Home State Axes: Install-Day Personalization via Poke-and-Observe” 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 research concept, 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
Each controlled perturbation moves specific multipath components in a repeatable way: a metal fridge door swings a strong specular reflector through known angles (large CIR amplitude/delay signature); a front door changes the dominant hallway waveguide mode; shower water creates a transient high-eps_r/sigma volume. Because the perturbation is known and repeated, its signal subspace is directly identifiable against the ambient baseline.
02 Shared processing path
Axis discovery (stage 7): scripted perturbations -> CIR sparse recovery + CSI deltas per repetition -> supervised subspace extraction per event -> axes registered into the PCA/MVE manifold as labeled directions -> downstream Kalman/CUSUM on daily event counts (fridge openings = eating proxy, door events = leaving-home proxy).
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
Own-hardware experiment: 10 homes, 8 taught events each, measure per-axis detection F1 after 5 teaching repetitions and stability over 30 days (drift control over 119 days already proven supports baseline stability); no public dataset exists — this is a differentiating frontier capability.
04 Commercial hypothesis
For adult children buying peace of mind (D2C) and care coordinators: 'Teach the house what matters in 15 minutes — then get "she ate, she's up, the front door only opened for the nurse" every day, from WiFi alone.'