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-exit and unassisted-egress prediction for high fall-risk patients” 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 B, 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
The patient's dominant reflection centroid translates from the horizontal bed plane toward a vertical seated/standing posture and the RTI energy migrates from bed cell to floor/edge cells; postural micro-Doppler signature of weight-shift precedes egress.
02 Shared processing path
RTI differential imaging tracks body centroid vs. learned bed footprint -> Doppler posture-transition features -> compartment Kalman dynamics predicts trajectory -> threshold on egress-intent state
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
Presence/occupancy (r=0.9) and localization proven; validate on WiMANS multi-position activities + own-hardware bed-egress scripted trials against a pressure-sensitive bed mat.
04 Commercial hypothesis
'Predictive bed-exit alerting' — replaces high-false-alarm pressure pads for fall-prevention program managers.