Introduction
Our team is developing an advanced sensor-driven system designed to monitor key physiological and environmental factors affecting the feet of elderly individuals. This system integrates multiple sensors, including pulse oximeters, moisture and temperature detectors, and imaging technology, to collect real-time data on foot health. By enabling early detection of potential foot health issues, this system enhances preventive care and supports proactive health management for elderly individuals.
Final System Functionality
- Foot Placement: The user places their foot in a sensor-equipped box.
- Sensor Activation: A pressure or motion sensor detects the foot and starts data collection.
- Voice Prompt: The system announces, “Scan in progress.”
- Data Collection:
- Pulse Rate & Oxygen Saturation: Recorded via a pulse oximeter sensor.
- Humidity & Temperature: Monitored using moisture and temperature sensors.
- Fungal Risk Assessment: AI model analyzes humidity and environmental factors.
- Toenail Length Analysis: Camera captures images for length detection and overall foot condition.
- Data Transmission: Results are processed and sent to the Web app.
- User Feedback: The Web application displays foot health data and provides recommendations.
Preliminary Model
The theoretical model of the box we intend to create, with two cameras to capture the top and bottom of both feet.