How Your Watch Talks to the Cloud
Follow a single alert from the sensor on your wrist to a caregiver's phone — the full path it travels, step by step.
Every alert LifeLyne sends starts with something simple: your watch noticing that something has changed. Getting from that first flicker of data to a caregiver's phone — reliably, in seconds, without crying wolf — takes several handoffs between the device, the app, and the cloud.
On the Wrist
LifeLyne currently runs as an app on off-the-shelf Android smartwatches, like the Samsung Galaxy Watch — no custom hardware to design or wait on. The watch continuously samples heart rate, accelerometer, gyroscope, electrodermal activity, and skin temperature in the background.
On-Device Intelligence
A lightweight machine learning model runs directly on the watch's chip, scanning sensor data in real time for patterns consistent with a fall or seizure — entirely offline, with no round trip to the cloud needed to notice something's wrong.
Encrypted Handoff
The moment a pattern is flagged, the watch alerts the paired phone over an encrypted Bluetooth Low Energy connection. That connection is health-checked continuously in the background, even when the screen is off, with automatic reconnection if it ever drops.
A Careful Second Look
The app relays the event to LifeLyne's cloud backend, where a deeper model reviews the full picture before deciding whether to escalate. This second pass — a heavier model with more context than the watch alone can hold — is what keeps false alarms down.
The SOS Window
Before anyone is contacted, the app shows a short on-screen countdown. If it's a false alarm — a hard workout, a dropped phone — the wearer can cancel it right there. If it goes unanswered, the app proceeds automatically.
Reaching Help
Caregivers are notified by SMS and phone call, with the wearer's location included automatically. If the phone has no signal, it falls back to the phone's own dialer directly — the alert still goes out.
Behind the Curtain
The cloud side is built to stay out of the way — scaling automatically, and treating health data as something to isolate, not just store.
That's the whole trip —
watch to caregiver, in seconds.
Curious what it looks like in the app itself?
See It Work