Mapped to a shared offline runtime family and usable with a recording or compatible ESP32 CSI stream.
Intended capability
Evaluate the sensing evidence for “Bed-rail-up and safe-setup geometry verification (CIR geometry)” 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 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 Healthcare scene
This is one recorded vertical scenario. It is not separate validation of every capability in the catalog.
01 The physics
Metal side rails are strong specular scatterers; rails-up versus rails-down changes the fixed multipath geometry (delay/amplitude of the rail return), and bed height changes the delay of the metal-frame reflection — both are static, repeatable changes in the CIR fingerprint independent of patient motion.
02 Shared processing path
CIR sparse recovery captures the bed-frame/rail specular delays -> RFF/NeRF geometry snapshot of the metal scatterers -> PCA+MVE anomaly manifold flags deviation from the learned 'safe-setup' fingerprint
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 bed study fingerprinting rails-up/down and high/low positions for CIR separability; ESP32-wall metal-scatterer geometry results as the physical baseline for concealed-metal discrimination.
04 Commercial hypothesis
'Fall-precaution setup verifier' — passive safety-config auditing for patient-safety officers on fall-risk bundles.