The Vision

The Emerging Standard of Care

Researchers envision a layered "safety net" where multiple technologies work together to ensure no child's pain goes unrecognized.

1

Rapid Screening at Every Visit

Apps like PainChek provide a 3-second standardized pain score during routine checkups — fast enough to become part of every appointment, not just emergency visits.

2

Continuous Hospital Monitoring

In NICUs and PICUs, multimodal sensor fusion systems watch over babies around the clock — detecting "silent pain" and physiological distress before it escalates.

3

Spatial Pain Localization

When a child can't point to the pain, infrared thermography pinpoints the inflammation or injury site — guiding doctors to the right diagnosis faster.

4

Predictive Alerts for Parents

Smartwatch and wearable data builds "digital biosignatures" that can predict a pain flare and send a notification to your phone — giving you time to comfort your child before they reach inconsolable distress.

👁️
🌡️
🔊
💜
📐
🌿
NESTSENSE

One Hub. Six Senses. Zero Contact.

Six sensors monitor well-being without touching skin — critical for premature infants whose skin is up to 30% thinner than an adult's.

👁️ AI Vision
🌡️ Thermal IR
🔊 Acoustic
💜 PPGi
📐 Depth
🌿 Env

Powered by Indirect Sensor Fusion. Predicts pain before distress.

Six Sensors

What Each Sensor Does

👁️

AI Vision

4K · 120fps · IR night

Detects 6 facial AUs with a Two-Stream ConvNet.

0.966AUC
🌡️

Thermal IR

160×120 · ±0.1°C

Locates hidden inflammation. More accurate in children.

17.96×per °C
🔊

Mic Array

4× MEMS · Beamforming

Extracts MFCCs for cry classification.

96.4%accuracy
💜

PPGi Heart

Contactless cardio

HR from skin color changes. No adhesives on fragile skin.

0.91bpm error
📐

3D Depth

Time-of-Flight

Bridges all cameras. Finds face once, projects to all. 66% efficiency gain.

66%gain
🌿

Environment

VOC · Temp · Humidity · CO₂

Correlates air quality with distress patterns and irritants.

24/7continuous
Under the Hood

From Sensor to Alert in 3 Seconds

📡

Capture

6 sensors, 24/7

🎯

Detect

ToF locates baby

🧠

Fuse

AI cross-validates

📊

Score

Weighted pain score

📱

Alert

Plain-language tips

Specifications

Built for Babies, Engineered for Clinicians

SpecDetailWhy
Size140×95×88 mmFits any crib rail
Weight285gNo modifications
PowerUSB-C · 12W · 6hr backupWorks during outages
ProcessingNPU · 26 TOPSAll AI local
PrivacyAES-256 · No video storedData stays on device
Camera4K · 120fps · f/1.8 · IRAny lighting
Thermal160×120 LWIR · ±0.1°CInflammation + breathing
Mics4× MEMS beamformingIsolates baby
Depth3D ToF · VGABridges all sensors
ConnectivityWi-Fi 6E · BLE 5.3Low-latency alerts
TargetFDA Class II · CE MDRMedical-grade
The App

Every Screen Tells You Something Useful

Seven intelligent screens transform raw sensor data into calm, clear answers.

9:41● Live87%🔋
Emma's Nursery● Live
Overall Status
Calm
All sensors nominal · Pain 1/10
NoneMildModerateSevere
Heart
128 bpm
Breath
34 br/m
SpO₂
98%
● OK
Room
22°C
48% · 412 CO₂
Last
Hunger cry 8:14 AM — resolved
Screen 1

Home Dashboard

One glance tells you everything. Fused pain score from all sensors with drill-down into individual vitals.

9:43● Listening87%🔋
🔊 Cry AnalysisActive
Live Spectrogram
0 HzF₀=452 Hz8 kHz
Classification
Pain Cry
94.2% confidence · 12s · High-pitched + apnea
Pain 94%
Fussy 4%
Hunger 2%
⚡
Cross-verifying...
HR 156 bpm · Confirming pain
📎 Acoustic phenotyping →
Screen 2

Cry Decoder

Mic array isolates your baby's cry, AI extracts acoustic fingerprints to classify as pain, hunger, tiredness, gas, or fussy.

  • MFCC extraction with DAG-SVM
  • 96.39% across five categories
  • Real-time spectrogram + F₀ tracking
  • Auto cross-verification with HR + movement
9:44● Alert86%🔋
👁️ Facial PainAlert
AU4AU6+7AU9
Pain Score
7
/10
035710
Brow AU4
Active ●
Eye AU6+7
Moderate ●
Nasolabial AU9
Deep ●
Chin AU25
None
📎 PainChek validation →
Screen 3

Facial Pain Score

Based on PainChek — 6 Action Units with 0.966 AUC accuracy, no bias.

  • Animated face shows active AUs in real time
  • Two-Stream ConvNet separates pain from fussiness
  • Partial-face detection around CPAP masks
  • 480× faster than 4-hour nursing checks
9:45● Scan86%🔋
🌡️ LocalizationActive
Abdomen
+0.7°C above baseline
Thermal Map
34°C38°C
Pose
Legs to chest · Guarding abdomen · Restricted range
📎 IRT pediatric inflammation →
Screen 4

Where Does It Hurt?

Thermal + depth camera = spatial pain localization when your child can't point.

9:46● Think85%🔋
🧠 AI TriageInsight
💡 "GRANDMA'S INTUITION"
452 Hz cry + legs to chest + abdomen +0.7°C. HR 156 bpm.
Most Likely
Infant Reflux (GER)
87% pattern match
✨ Try Now
1. Hold at 30° angle for 15 min
2. Gentle tummy circles
3. Elevate head for next feed
⚠️ Watch for: If 30+ min or refuses food → escalates to doctor
Screen 5

"Grandma's Intuition"

LLM triage explains why, what, and what to do — combining cry + thermal + pose + vitals.

  • Plain-language reasoning, not just generic alerts
  • Specific comfort recommendations
  • Auto-escalation if home remedies fail
  • Addresses 80% cognitive error rate
10:15● Ready82%🔋
🩺 Evidence PacketReady
📋 FLIGHT RECORDER
47 min continuous monitoring
🔊
Cry Audio
4 episodes · 452 Hz · Pain 94%
👁️
Facial AUs
Peak 7/10 · AU4, AU9
🌡️
Thermal
Abdomen +0.7°C
💓
Vitals
HR 128→156 · SpO₂ 97-98%
🧠
AI Summary
GER · Partial resolution
📤 Share
💾 Save
De-identified · HIPAA
Screen 6

Pediatric Flight Recorder

Arrive with data, not "she's been fussy." Auto-compiled evidence packet.

  • 50% faster diagnosis potential
  • AI reasoning included for doctors
  • Secure de-identified sharing
  • Longitudinal medical records
8:00 PM●45%🔋
📊 TodayFeb 9
8:14 AM
🟢 Hunger · Fed 8:16 · 4 min
9:43 AM
🔴 Pain · 7/10 · Abdomen · HR 156
9:46
🟡 Triage: Reflux · Upright hold
10:02
🟢 Score → 2/10 · HR 132
10:15
📋 Evidence Packet saved
12:30
🟢 Hunger · Fed 12:33
1:15
😴 Nap 1h42m · No distress
4:30
🟢 Fussy · Wet diaper · Changed
6:45
🟡 Tired cry · Asleep 7:12
1 pain · 2 fussy · 3 hunger · 1 nap
Screen 9

Day's Story in Data

Auto-logged, color-coded timeline. 65% of errors are caught on return visits — a data trail means nothing is lost.

  • All events with timestamps
  • Pain, feeding, sleep, diapers in context
  • AI spots recurring triggers across weeks
  • Exportable for doctor visits