Healthcare · Frontier
Bed-rail-up and safe-setup geometry verification (CIR geometry)
Confirms the bed rails are up and the bed is low — and stayed that way.
Plausible physics, early work — shown honestly as an experiment.
How it works
Metal bed rails reflect WiFi waves strongly, so rails up and rails down each leave a different fingerprint in the room's signal. The system checks that fingerprint continuously. If a rail comes down on a high-fall-risk bed, it says so.
In 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.
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
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.
Who it is for
'Fall-precaution setup verifier' — passive safety-config auditing for patient-safety officers on fall-risk bundles.
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