- Wearables have a fatal flaw: 30% abandonment within 6 months, removed during showers, forgotten by dementia patients.
Veriprajna's Passive Wi-Fi Sensing achieves 99% fall detection with zero user compliance required.
Here's the physics. 🧵
#HealthcareTech #WiFiSensing - The "Shower Paradox":
Bathrooms = most hazardous room for elderly
Falls during bathing = highest injury risk
Yet wearables are removed precisely when needed most.
Study: 24% never wore PERS pendant. Only 14% achieved 24-hour adherence.
#ElderCare #AgeTech - The "compliance gap" is a design flaw, not a user problem.
Expecting an 85-year-old with dementia to:
→ Remember to wear device
→ Charge it nightly
→ Press button during emergency
...is engineering malpractice.
We need passive infrastructure.
#UXDesign - Solution: Channel State Information (CSI) from Wi-Fi.
Every Wi-Fi packet contains complex physical layer data describing signal propagation across subcarriers.
At 5 GHz, wavelength = 6cm. Chest displacement during breathing = 4-12mm.
Physics makes micro-motion visible. - #DeepLearning
OFDM divides wireless channel into dozens of subcarriers.
CSI = complex matrix H with amplitude |H| and phase ∠H for each subcarrier.
Y = H × X + N
Unlike RSSI (scalar), CSI provides high-resolution "image" of electromagnetic environment.
#SignalProcessing - Fresnel Zone Model: Radio waves reflect off human body.
Path length change d(t) creates phase shift:
ΔΦ(t) = 2π·d(t)/λ
3cm movement (half wavelength at 5 GHz) = peak to null shift.
This sensitivity detects breathing and falls.
#Physics #IoT
Deep AI stack (not LLM wrappers): - → Dual-Branch Transformers (Amplitude + Phase)
→ CNNs for spatial features
→ LSTM for temporal sequences
→ DANN for environment invariance
Edge processing on Qualcomm Hexagon NPU. <300ms latency.
#EdgeAI #MachineLearning
Clinical validation: - 99% fall detection accuracy
<3.2 breaths/min respiratory error
Sleep apnea detection (no PSG needed)
Gait deterioration tracking (predict falls before occurrence)
Through-wall, NLOS capable. Works in darkness.
#MedTech #AIinHealthcare - Privacy: CSI = complex numbers, not images. Visually blind.
Compliance: Edge processing (HIPAA/GDPR). Raw data never leaves device.
Standard: IEEE 802.11bf (WLAN Sensing) = software update to existing routers. Zero hardware retrofit.
#Privacy #GDPR - The future of elder care isn't wearables.
It's ambient intelligence embedded in infrastructure.
Our team specializes in passive Wi-Fi sensing for healthcare facilities.
We'd welcome a strategic discussion. - 📖 Read the full technical whitepaper here: https://veriprajna.com/whitepapers/invisible-guardian-passive-wi-fi-sensing-deep-ai
📧 [email protected]
🌐 https://veriprajna.com
💬 WhatsApp: +919217059957
#Innovation