Project Overview
The Succor Smart Glove is an innovative IoT wearable device that integrates multiple sensors to monitor vital signs and provide real-time health data. This wearable technology aims to improve healthcare monitoring and provide early warning systems for various health conditions.
IoT
Wearable Technology
Arduino
Sensors
Bluetooth
Health Monitoring
Key Features
- Vital Sign Monitoring: Real-time tracking of heart rate, temperature, and oxygen levels
- Wireless Connectivity: Bluetooth communication for data transmission
- Comfortable Design: Ergonomic glove design for extended wear
- Alert System: Automated notifications for abnormal readings
- Data Logging: Continuous health data recording and analysis
- Mobile Integration: Smartphone app for data visualization
Technical Implementation
The smart glove combines multiple technologies for comprehensive health monitoring:
- Sensor Array: Heart rate, temperature, and SpO2 sensors integrated into the glove
- Microcontroller: Arduino-based processing unit for sensor data management
- Wireless Module: Bluetooth Low Energy for energy-efficient data transmission
- Power Management: Rechargeable battery with optimized power consumption
- Data Processing: Real-time signal processing and filtering algorithms
- Mobile App: User interface for data visualization and alerts
Sensor Technology
The device incorporates advanced sensor technology:
- Optical heart rate sensor for continuous cardiac monitoring
- Temperature sensors for body temperature tracking
- Pulse oximetry for blood oxygen level measurement
- Accelerometer for activity and movement detection
- Flex sensors for gesture recognition and interaction
Project Impact
The Succor Smart Glove addresses healthcare challenges by:
- Enabling continuous health monitoring outside clinical settings
- Providing early detection of health anomalies
- Supporting remote patient monitoring and telemedicine
- Improving accessibility to health monitoring for elderly and disabled individuals
- Reducing healthcare costs through preventive monitoring
Future Enhancements
Planned improvements include:
- Integration with AI for predictive health analytics
- Cloud-based data storage and analysis
- Integration with electronic health records
- Advanced gesture recognition for hands-free operation
- Multi-user support for family health monitoring