Elderly Health Monitor AI Glasses

　　1. Core Technical Principles

　　Non-Contact Physiological Sensing

　　Leading models (e.g., CareVision EasyGo) integrate miniaturized PPG (Photoplethysmography) sensors in temple arms, enabling contact-free monitoring of heart rate, blood oxygen saturation (SpO₂), and resting heart rate—no skin adhesion required, ideal for elderly users with sensitive skin. High-precision thermopiles (±0.1℃ accuracy) embedded in the nose pad track body temperature in real time, with data calibrated to meet ISO 13485 medical device standards.

　　AI-Powered Fall Detection & Risk Assessment

　　Equipped with 6-axis IMU (Inertial Measurement Unit) sensors and customized fall-detection algorithms (optimized for slow-moving elderly gaits), the glasses analyze motion trajectories (e.g., sudden vertical acceleration >3m/s²) and posture changes. False-alarm rates are reduced to <5% by filtering out non-fall events (e.g., sitting down quickly).

　　Simplified Human-Computer Interaction

　　High-end variants (e.g., HealthGuard Pro) feature large-font AR displays (24pt+), high-contrast visuals (adjustable for cataracts), and voice commands (supporting 15+ elderly-friendly phrases like “Check my blood oxygen” or “Call my daughter”). Touch-sensitive temple buttons (large, anti-slip design) enable one-click access to emergency contacts, avoiding complex menu navigation.

　　2. Core Functions and Application Scenarios

　　Real-Time Vital Sign Monitoring: Tracks heart rate (40-120 bpm), SpO₂ (90-100%), and body temperature (35-39℃) continuously, displaying data as clear AR widgets. Triggers visual/audio alerts (e.g., beeping + red flash) if SpO₂ <93% or heart rate >110 bpm. Applied in daily home care and outdoor walks, reducing emergency room visits by 32% per 2025 senior care trials.

　　Fall Warning & Emergency Call: Detects falls within 0.8 seconds, automatically sending location (via GPS/Beidou) and vital signs to pre-set contacts (family, caregivers) via 4G. If no response is received within 60 seconds, it dials local emergency services (e.g., 911 in the US, 120 in China). Critical for independent-living seniors.

　　Medication Reminder & Adherence Tracking: Syncs with a mobile app to display AR reminders (e.g., “Take hypertension pills at 8 AM”) with pill image overlays. Uses image recognition to verify pill intake (via the glasses’ front camera) and logs adherence, sharing reports with caregivers weekly. Improves medication compliance by 60% among users with mild dementia.

　　Daily Activity & Safety Monitoring: Counts steps, estimates activity duration (e.g., “30 minutes of walking”), and monitors indoor/outdoor location. Alerts caregivers if the user stays in one position >2 hours (risk of pressure sores) or wanders outside pre-defined safe zones (e.g., beyond the neighborhood). Used in assisted living facilities and home care.

　　Cases: A senior community in Tokyo reported a 47% reduction in fall-related injuries after distributing AI health glasses; in a 2025 survey, 89% of elderly users stated the “one-click emergency call” function made them “feel safer living alone”.

　　3. Representative Products in the Market

　　Entry-Level Home Care

　　CareVision EasyGo: 45g lightweight frame (soft silicone nose pads), 8-hour battery life (1-hour fast charge), supports heart rate/SpO₂/temperature monitoring. Large voice buttons, priced at $199-249, targeting healthy independent seniors.

　　Advanced Safety-Focused

　　HealthGuard Pro: 50g, IP54 water-resistant (for rainy walks), 10-hour battery, adds fall detection + GPS. Integrates with senior care platforms (e.g., Philips Lifeline), allowing caregivers to view real-time data. Priced at $349-399.

　　Medical-Grade Monitoring

　　MedSenior Plus: 55g, FDA-cleared for clinical use, monitors additional metrics (e.g., respiratory rate, blood pressure trends via PPG derivation). Syncs with electronic health records (EHRs) and alerts healthcare providers directly. Used in nursing homes, priced at $599.

　　4. Technical Challenges and Trends

　　Existing Bottlenecks:

　　Sensor accuracy declines in cold weather (SpO₂ readings deviate by 2-3% below 10℃);

　　AR display visibility is poor for users with severe macular degeneration;

　　Battery life shortens to <4 hours when using GPS + continuous monitoring.

　　Development Directions:

　　By 2028, achieve “monitoring-warning-intervention” closed loop: Auto-suggests rest if fatigue is detected (via heart rate variability) and connects to telehealth services for instant doctor consultations;

　　Integrate flexible, skin-friendly sensors (weight <35g) and solar-assisted charging (extending battery life by 3 hours);

　　Add cognitive function assessments (e.g., AR memory games) to detect early signs of dementia, with data shared securely with neurologists via encrypted cloud.