Aangan Intelligence

What one small radar sensor understands today, the intelligence we are building on top of it to learn each person's routines, and where the hardware is going.

Everything it understands

What a single sensor in each room picks up, grouped into four areas. The data below is illustrative.

Sharma homeLive · 4 at home
KitchenLiving roomBedroomBathroomCourtyardPRIM
  • PPapaLiving room · Sitting
  • RRohanKitchen · On a call
  • IIshaCourtyard · Walking
  • MMaBedroom · Asleep
  • How many people are in each room
  • Who is who, without seeing faces
  • Where each person is, room to room
  • Visitors arriving and leaving

In plain words, Aangan tells you

How the night went: sleep, and breathing and heart-rate trends

In pilot. Each capability is being validated with our first partners.

Sleep, night by night

Every night Aangan estimates sleep stages from breathing and movement, with no band on the wrist. Pick a night from Ma's week.

Ma · sleep
AwakeREMLightDeepbathroombathroombathroom22:0000:0002:0004:0006:00
Time asleep
5h 38m
In bed
23:12 to 06:00 · 83% efficiency
Deep · REM
1h 31m · 1h 08m
Woke up
6 times, 3 for the bathroom
AwakeREMLightDeepLess sleep than her usual 7 to 8 hours, with more trips to the bathroom.

Illustrative week. Sleep stages from radar are estimates, not a clinical sleep study.

Then, the patterns that matter

The intelligence sits in the background, learns what normal looks like for this one person, and speaks up only when something has genuinely moved. On a normal day, that is one morning brief and nothing else. In development.

Eight weeks with Papa · trips a night

Night-time bathroom trips

How often, and for how long. A steady rise can be an early sign of an infection or a blood-sugar problem.

His usual3.08 weeks agoThis week

Up from about one and a half to three a night in two weeks. Rohan gets a note: worth mentioning to his doctor.

Underneath, it is RAEH's existing biosignal stack, pointed at a new sensor

  1. Signal engine

    Clutter removal, person separation, signal quality

  2. Personal baselines

    Each resident's own normal, by hour, night and week

  3. Change detection

    Drift, fall-risk score, early-decline signals

  4. Actions

    Staff alert, family brief, weekly summary

Illustrative data. The intelligence layer is in development; the bed-pad sensor is an optional accessory, because radar cannot sense moisture.

What it can point toward, without claiming to diagnose

The pattern Aangan surfaces

Resting breathing rate drifting above this person's own range

Evidence

Strong

Where that comes from

In 89 COPD patients, breathing rate rose over the five days before hospitalisation

We say

“Her breathing at rest has been above her usual range for three nights. You may want to look in.”

We never say

“Pneumonia detected.” “UTI likely.” “Fall risk: high.” Any of those is a diagnosis, and a diagnosis is a regulated medical device.

Form factors

Same intelligence, different rooms.

  • Wall sensor

    Wall sensor

    Bedroom and living room, mounted at head height.

  • Ceiling sensor

    Ceiling sensor

    Whole-room coverage, including the bathroom.

  • Bedside hub

    Bedside hub

    Next to the bed, for sleep, breathing and heart rate.

  • DiffuserConcept

    Diffuser

    Sensing hidden in an everyday object.

  • SpeakerConcept

    Speaker

    Sensing plus a voice channel.

Device decisions, not yet final

Working assumptions, to be settled once we have the module in hand and an operator has walked a real apartment with us.

  1. 01Wall mounted, chest height

    One unit per zone, on the wall. No ceiling work, no electrician and no drilling into a slab. Mounting height matters more than anyone expects, so installation will be a short guided routine.

  2. 0260 GHz mmWave module

    Off the shelf, with reference firmware. No camera, no microphone; it works in the dark and through bedding. A ceiling mount is the alternative where fall coverage needs a wider cone.

  3. 03A thin USB-C cable to a socket

    It plugs into an ordinary socket, so anyone can install it in minutes.

Next, diffusers and speakers that sense how they feel

We are building Aangan's sensors into electronic diffusers and speakers, so the devices themselves become intelligent. When stress rises, or heart rate and breathing move away from someone's normal, the room responds with a blend of fragrances and calming sound.

An Aangan diffuser and speaker on Ma's bedside table while she rests

Ma, 02:14

64bpm

Above her usual

Her usualDiffusesPlaysSettles02:0802:32
  1. Senses

    Her heart rate and breathing climb above her usual, and stay there.

  2. Diffuses

    The diffuser releases a blend chosen for her.

    Lavender 50% · Bergamot 30% · Sandalwood 20%

  3. Plays

    The speaker fades in sound she finds calming.

    Now playing: Soft rain, with a low tanpura drone

  4. Settles

    Back within her usual. It stops, and remembers what helped.

    Lavender with soft rain settled Ma fastest. Next time, it starts there.

On our roadmap. This is an example scenario. The aim is comfort and wellbeing, and it is not a medical treatment.

An older person's hands resting together on blue cloth
  • For your parents: their privacy, and their independence
  • For you: knowing they are fine without having to check
  • For caregivers: attention where it is needed
  • For care homes: one view of every room at night

Be one of the first homes

Aangan is in pilot. We are looking for senior-living operators to pilot with, and partners to build with. Leave your details and we will be in touch.

I am