Smart Mirror for Health Monitoring: Computer Engineering Guide
1. Introduction
Overview of the project.
Objectives of the system: Create a smart mirror that provides health monitoring features like displaying vital signs, scheduling, and fitness tracking.
Scope of the system: Ideal for personal use in homes or fitness centers.
2. Requirements Analysis
Functional Requirements:
· - Display health-related data such as heart rate, temperature, and step count.
· - Integrate with wearable devices or sensors for real-time data acquisition.
· - Show user schedules, reminders, and news updates.
· - Support voice commands and touch interactions.
Non-Functional Requirements:
· - User-friendly interface with a sleek design.
· - Reliable data integration and processing.
· - Secure storage and transmission of health data.
3. System Design
Architecture:
· - Modular design with components for display, data processing, and connectivity.
· - Integration with IoT devices for data collection.
Data Flow Diagrams (DFDs):
· - Level 0: Overview of user interactions with the smart mirror.
· - Level 1: Modules like Data Acquisition, Processing, and Display.
Database Design:
· - Tables: User Profiles, Health Metrics, Schedules, Notifications.
4. Technology Stack
Hardware:
· - One-way mirror, LCD screen, Raspberry Pi, sensors (heart rate, temperature, etc.).
Software:
· - Frontend: HTML, CSS, JavaScript with frameworks like React.js.
· - Backend: Python (Flask/Django) or Node.js for data processing and API development.
· - IoT Integration: MQTT or similar protocols for device communication.
Database:
· - SQL (PostgreSQL, MySQL) or NoSQL (MongoDB, Firebase).
Voice Integration:
· - Google Assistant SDK or Amazon Alexa.
5. Implementation
Hardware Setup:
· - Assemble the mirror with LCD screen and sensors.
· - Connect hardware components to a Raspberry Pi for processing.
Frontend Development:
· - Design an intuitive interface for displaying health data and schedules.
· - Implement widgets for interactive elements like weather and news.
Backend Development:
· - Develop APIs for health data processing and schedule management.
· - Implement real-time data synchronization with wearable devices.
Integration:
· - Combine hardware and software components for seamless operation.
· - Integrate voice command functionality for hands-free operation.
6. Security
Encrypt health data during storage and transmission.
Implement secure authentication mechanisms for user profiles.
Regularly audit and update the system to address vulnerabilities.
7. Testing
Unit Testing: Validate individual components like data acquisition and display.
Integration Testing: Ensure smooth interaction between hardware, software, and IoT devices.
System Testing: Test the system under real-world usage scenarios.
Performance Testing: Evaluate response times and data processing speed.
8. Deployment
Deploy the system in homes or fitness centers.
Configure cloud-based services for data backup and remote monitoring.
Monitor system performance and gather user feedback.
9. Maintenance and Updates
Regularly update the software for improved functionality and security.
Monitor system logs and address hardware or software issues promptly.
Implement user feedback to enhance the system.
10. Appendix
Glossary of terms.
References and additional resources.