Elderly Care - Emeis Technologies

Elderly Care : Multi-Room Sensor Monitoring

Capture temperature, humidity, light, radar, smell and pressure across house.

A smart device like a three pin plug which enable the sensor data capture.

Activity detection based on clustering and pattern detection.

The app is enabled to work with voice control to make the reporting easy.

App to configure the account and devices along with detailed analysis etc.

Reporting with detailed visualization makes the decision making easy.

Health Risks of Independent Living: Seniors living alone are vulnerable to falls, health issues, and cognitive decline.
Lack of Real-Time Awareness: Caregivers often receive delayed updates, leading to missed critical health signs.
Intrusive Monitoring Concerns: Traditional cameras and wearables may compromise privacy or cause discomfort.
Unstructured Data Processing: Large volumes of sensor data require efficient analysis for meaningful insights.

Enhance Elderly Safety: Detect falls, routine deviations, and emergencies in real-time.
Improve Health Monitoring: Identify patterns that indicate deteriorating health or cognitive decline.
Reduce Caregiver Burden: Provide automated insights without requiring constant manual supervision.
Ensure Privacy and Comfort: Deploy non-intrusive sensors instead of invasive monitoring solutions.

Sensor Deployment Across Multiple Rooms
- Temperature, humidity, and pressure sensors track environmental comfort.
- Light sensors detect activity during night and day.
- Radar sensors monitor movement, inactivity, and potential falls.
- Smell sensors identify hygiene issues, gas leaks, or spoiled food.
Data Processing & AI-Based Classification
- Standardized sensor data using preprocessing techniques.
- Applied DBSCAN clustering to categorize activities.
- Detected anomalies such as extended inactivity or unusual movement patterns.
Visualization & Alerts
- Heatmaps to track movement intensity across rooms.
- Time-series graphs to highlight routine changes.
- Caregiver alerts are triggered based on activity deviations.

Early Detection of Health Issues
- Routine deviations helped detect early flu symptoms in an elderly individual.
- Identified prolonged inactivity in bed, prompting timely medical intervention.
Emergency Response & Fall Detection
- Radar sensors detected a fall in the bathroom, leading to immediate assistance.
- Caregivers received alerts when an individual remained motionless for too long.
Cognitive Decline Insights
- Identified nighttime wandering, an early sign of dementia.
- Detected increased forgetfulness (e.g., turning on appliances but not using them).
Improved Caregiver Efficiency
- Automated reports reduced the need for constant manual checks.
- Caregivers could proactively address issues rather than react to emergencies.