Healthcare · Strong theory
Bed-exit and unassisted-egress prediction for high fall-risk patients
Warns staff seconds before an unsteady patient tries to get out of bed alone.
The physics is solid; our own validation is scheduled.
How it works
Before someone stands up, they sit up, swing their legs over, and shift their weight — a little dance the WiFi waves can see. The system spots that pattern and warns staff before the feet hit the floor, not after a fall.
In 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.
See it work
This is real pipeline output for Healthcare, replayed. The exact reading depends on your room.
Go deeper
How the field becomes an answer
How we prove it
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.
Who it is for
'Predictive bed-exit alerting' — replaces high-false-alarm pressure pads for fall-prevention program managers.
runtime Runs today in LatentField 2.0 as fall_detect
The matching solution
Complete first-room estimatePatient Room Field Node3 nodes · ~$140 parts · 60 min Request kit, subscribe, or set up →Compatible DIY hardware options
15 min · beginner
120 min · advanced