Offline-first · Privacy-oriented · Subject to clinical validation

VitalWiFi: Vital and room markers for geriatric research.

VitalWiFi combines contactless WiFi-CSI spatial sensing with affordable smartwatches into an offline-capable research platform for nursing homes, hospitals and emergency services. The technology is prepared; accuracy, alarms and clinical benefit remain to be tested in studies.

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Operated by Ethical Saving gUG (non-profit) · DACH region · development and study-preparation stage

VitalWiFi Video

Invisible Protection Through WiFi-CSI Radio Waves.

Experience in 45 seconds how VitalWiFi detects micro-movements and vital signs in the room without contact — zero cameras, zero wearables and with 100% privacy preservation.

Open Interactive Motion Studio & Storyboard →
The problem

Too few staff, too little oversight — especially at night.

Care facilities and wards work at their limit. Falls go unnoticed, vital signs are only checked occasionally, and valuable information is lost in the handover from emergency services to the hospital.

~1.8 M
people in residential or outpatient care in Germany (Federal Statistical Office, Care Statistics 2021)
> 30 %
of people over 65 fall at least once a year (WHO, Falls Fact Sheet)
~115,000
vacancies / skills gap in elderly and hospital care (order of magnitude, German Federal Employment Agency / Ministry of Health)
The solution

One system, three building blocks.

Model-dependent wearable data and experimental room markers — brought together on a local server inside the facility.

⌚

Smartwatch layer

Selected low-cost wristbands provide model-dependent heart rate, SpO₂ and movement values. Adapters isolate vendor protocols; accuracy is assessed per model against clinical references.

📶

WiFi-CSI sensing

Changes in WiFi signals are used to calculate research markers for presence, movement and suspected falls. Reliability and multi-person assignment still require validation.

🖥️

Local server

All data converges on a small appliance inside the facility. Offline-first, no cloud requirement, full control of the data.

All solution details →
Neuro Hand Rehab

Hand training directly in the browser.

The patient app can be opened as a web app without installation. Camera processing runs on the phone, tablet or computer; images are neither uploaded nor stored. When offline, sessions are queued locally in encrypted form and synchronised later.

Open Hand App Exercise catalogue
  • Front and rear cameras with on-device hand landmark detection
  • Safety check, pause, abort and explicit quality status
  • Patient assignment and encrypted offline outbox
  • Exploratory research metrics, not clinical goniometry
Requires HTTPS and camera permission. This is research software and does not replace professional therapeutic judgement. The current pilot UI is German.
How it works

From sensor to caregiver — in seconds.

1

Capture

Smartwatches provide model-dependent values; WiFi signals provide experimental movement and presence markers.

2

Aggregate

One ESP32-S3 radio bridge per room reads the watch over Bluetooth and forwards everything via WiFi.

3

Analyse

The local server stores data and calculates explicitly labelled research markers or notifications.

4

Notify

Care staff see each resident's status in the dashboard and receive hints — no diagnosis, no treatment decision.

Architecture at a glance

From the wrist to the caregiver.

Four layers, a clear data flow — encrypted, local, with no cloud requirement.

System architecture: smartwatch to ESP32 radio bridge to local server to dashboard
Staying honest

What radio sensing can do — and what it can't.

We only promise what the technology reliably delivers today. Transparency is part of our mission.

Included in the MVP

  • Capture technical presence and movement markers
  • Display model-dependent smartwatch values
  • Record suspected falls as research markers
  • Buffer data locally and provide role-based access

Not in MVP / research

  • Clinically validated breathing or heart rate via radio alone
  • Medical diagnoses of any kind
  • Treatment or medication decisions
  • A replacement for clinical or nursing judgement
Context: Ethical Saving deliberately starts as a comfort and wellness notification system. A regulatory path toward a medical device (EU MDR, Class IIa) is planned as a later stage — see Technology & regulation. See the validation and compliance status for implemented controls and evidence that is still outstanding.
Who it's for

Three settings, one system.

🏠

Nursing & care homes

The study tests whether night-time suspected-fall and presence markers can usefully complement care workflows.

🏥

Hospitals

Research-grade vital trends and room notifications alongside clinical reference measurements and professional judgement.

🚑

Emergency services

The study tests whether wearable data can be captured from first contact and handed over alongside clinical measurements.

Privacy & impact

Data stays in the house. Impact stays with people.

As a non-profit company we measure ourselves not by returns but by relief for care staff and quality of life for older people. Surpluses flow back, in line with our mission, into development and into serving non-profit providers.

  • GDPR-oriented engineering; DPIA and local approval before use
  • Role and permission system (care, physician, admin)
  • Encryption of data at rest and in transit
  • Offline operation — no cloud requirement

Funding & partners

Currently, everything is privately funded by Fabian Temme; we welcome your support.

Are you a provider, hospital, municipality or funding partner? Talk to us.

Become a research partner.

We are looking for facilities for controlled technical run-ins and clinical validation studies after ethics, privacy and IT approval.

Request a study partnership