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 and bedside fall detection with sub-second alerting” in a consented, ground-truthed study. This is not a medical device, clinical monitor, diagnosis, or emergency alert.
This describes the intended outcome. Readiness is shared-family mapped, evidence is class A, 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 Healthcare scene
This is one recorded vertical scenario. It is not separate validation of every capability in the catalog.
01 The physics
A fall is a high-velocity vertical collapse: the reflecting human body produces a broadband micro-Doppler burst (transient energy spread to 5-15Hz) followed by a sudden shift of the body's dominant reflection to floor-level delay/height, distinct from sitting or lying.
02 Shared processing path
Doppler/micro-Doppler transient energy detector -> RTI differential imaging to confirm body collapse to floor plane -> PCA+MVE anomaly manifold to reject non-fall bursts (dropped object, door slam)
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
Fall AUC 0.8 already proven; harden on WiMANS/SenseFi activity classes containing fall vs. sit/lie, then own-hardware simulated-fall trials in a mock bathroom with acoustic/pressure-mat ground truth.
04 Commercial hypothesis
'Private-space fall guardian' — for risk/patient-safety officers eliminating the camera blind spot that drives fall-related liability.