All capabilities
Elderly Care Shared-family mapped

BathGuard

Silent Bathroom Event Guardian

Pilot target for staged bathroom fall patterns and immobility; not an emergency-response system.

Feasibility path · not a production offer

Aging-in-Place Guardian

This offer is scoped to this capability only. It does not promote sibling catalog entries or replace physical deployment validation.

~$130 parts · 3 Nodes · ~60 minReview feasibility scope →No charge today · configuration and quote confirmed first
Readiness Shared-family mapped

Mapped to a shared offline runtime family and usable with a recording or compatible ESP32 CSI stream.

Evidence Proven Research data

A comparable sensing task was demonstrated on public research data; this product, site, and safety workflow remain unvalidated.

Runtime family Fall event

Rapid field-change event followed by low motion, using the shared fall-event state machine.

When no ESP32 is connected

No compatible ESP32 stream is connected. Use the bundled Elderly recording; it demonstrates the shared Fall event runtime, not independent proof of this capability.

Intended capability

Evaluate the sensing evidence for “Silent Bathroom Event Guardian” in a consented study using staged events and independent reference observations. This is not a care decision, fall prediction, emergency response, or proof of resident safety.

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.

Shared-family mapped

No rendered revision is available yet.

Bundled recording

A related Elderly scene

This is one recorded vertical scenario. It is not separate validation of every capability in the catalog.

01 The physics

A fall produces a high-magnitude broadband Doppler transient (rapid limb/torso velocity >2 m/s) followed by near-zero motion energy. Through-wall fall sensing works because 2.4/5GHz penetrates drywall (proven AUC 0.69 LOS/NLOS discrimination, fall AUC 0.8); the stationary 'alive but down' hold does not — drywall blocks 24 GHz, so breathing-band micro-motion is read by an in-room mmWave radar whose aimed cone holds a still person as a static target.

02 Shared processing path

Doppler transient detector (fall template, through-wall CSI) -> RTI differential imaging to confirm location = bathroom -> in-room LD2410 static-target energy for the 'alive but down' breathing hold -> MVE anomaly score on dwell-time-without-motion vs. resident's own bathroom-visit baseline.

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 detection already class-A on public data; EHUNAM and ESP32-wall for through-wall configuration; own-hardware validation with staged falls (mannequin + actor protocol) behind a real bathroom wall.

04 Commercial hypothesis

For home-care agencies and adult children (private-pay): 'The bathroom is where they fall and where cameras can never go.' The fall is caught through the wall; the went-still watch is a small mmWave radar inside the room — plus tier — sensing breathing, never pictures.