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DryNight

Measure bladder state, not wet fabric.

DryNight is exploring whether a lower-abdomen wearable could estimate bladder filling overnight and support a private cue before wetness begins.

Pre-prototype. No DryNight sensor data. Not clinically validated or FDA-cleared.

Industrial design concept showing a lower-abdomen sensor, adhesive interface, private cue band, and charging dock
Industrial design concept. Not a finished device.

A private timing system for the night.

The physical system is still a design direction. Stage 0 is the non-human bench feasibility phase that will determine the sensing modality, body interface, electronics, and whether this form factor is worth pursuing.

Candidate bench architecture

A scoping diagram, not an engineering specification

  1. Body interface

    Placement and coupling

    A repeatable bench fixture before any on-body work.

  2. Open decision

    Candidate sensing module

    Ultrasound, bioimpedance, or another noninvasive approach selected by evidence.

  3. Acquisition

    Front end and processor

    Raw signal capture, known test conditions, local processing, and timestamped logs.

  4. Connectivity

    Low-power wireless link

    A proposed link to the cue endpoint with observable delivery and failure states.

Proposed child endpoint

A private haptic cue band. Cue effectiveness is a separate human-factors question after sensing feasibility.

Proposed caregiver endpoint

Optional escalation by family plan. No notification logic is claimed or implemented.

Exploded industrial design concept of the proposed DryNight components: sensing core layers, skin interface layers, private cue band, and charging dock
Industrial design concept, exploded view.
  1. Sensing core

    Candidate sensing, processing, and power architecture.

  2. Skin interface

    A proposed coupling layer designed around stable contact and comfort.

  3. Private cue band

    A proposed child-first haptic cue before optional caregiver escalation.

  4. Charging dock

    A proposed home base for charging and device handoff.

The proposed night loop, in motion.

The film shows the current product direction: sense first, cue the wearer privately, and involve a caregiver only by plan. It is a design study, not a demonstration of working hardware.

Industrial design concept film.
Read the film sequence Show
  1. 01. The sensing core, skin interface, cue band, and dock appear as industrial design concepts.
  2. 02. An illustrative signal rises toward a proposed pre-void threshold.
  3. 03. The child receives a private cue before an optional caregiver step.
  4. 04. The film closes on the Stage 0 bench-feasibility partnership request.

Two hypotheses. Both have to hold.

Can we see the signal?

If bladder filling produces a repeatable body-surface signature, candidate sensors and models should detect it above motion, posture, and coupling noise.

pre-void time

Illustrative hypothesis, not measured DryNight output.

Can the cue change the night?

If a discreet cue is delivered at a useful time, can it help a sleeping child wake without unacceptable sleep disruption or caregiver burden?

private cue response closed-loop learning

Illustrative sequence. Cue effectiveness has not been tested.

Bench feasibility, not a product launch.

  1. 01

    Signal screening

    Compare candidate modalities under controlled fill, placement, motion, and coupling conditions.

    Decision gate: Stop if no repeatable bladder-related signal is detectable above noise.

  2. 02

    Body interface

    Test contact stability, positioning, materials, power, and thermal constraints on bench fixtures.

    Decision gate: Redirect if stable coupling or practical packaging is not credible.

  3. 03

    Go or redirect

    Review the bench data and decide whether to build a body-worn prototype, change modality, or stop.

    Decision gate: Advance only if the evidence supports the next experiment.

Portrait of Ndansi Elvis Nukam
Photo source: Obama Foundation
“A child should not have to be wet before the system understands that help is needed.”
Ndansi Elvis Nukam, Founder and CEO