Skip to content

README.md

Latest commit

 

History

History
261 lines (194 loc) · 7.11 KB

README.md

File metadata and controls

261 lines (194 loc) · 7.11 KB

🏥 Fall Detection System with Healthcare Monitoring

Arduino | MPU6050 | MAX30100 | GSM SIM900A | GPS Neo-6M | IoT

Project Arduino IoT Published Accuracy

📄 Research Publication

Published in International Journal of Research Publication and Reviews (IJRPR) Vol 6, Issue 4, April 2025 📄 Research Paper: Research-Paper/IJRPR43113.pdf

📌 Project Overview

An IoT-based wearable device for real-time fall detection with 96% accuracy, specifically designed for elderly safety monitoring. The system automatically sends emergency alerts with GPS location to caregivers via GSM when a fall is detected.

  • 🎯 96% fall detection accuracy
  • 💓 Real-time Heart Rate & SpO2 monitoring
  • 📍 GPS location-based SMS emergency alerts
  • 👴 Designed for elderly safety
  • 📡 I2C communication for multiple sensors

📁 Project Structure

Fall-Detection-System-with-Health-Care/
├── 📂 Code/
│   └── fall_detection_system_with_heal...  ← Arduino source code
├── 📂 Circuit-Diagram/
│   └── Screenshot 2026-03-03...            ← Circuit diagram
├── 📂 Project Report/
│   └── fall detection system.pdf           ← Full project report
├── 📂 Research-Paper/
│   └── IJRPR43113.pdf                      ← Published research paper
└── 📄 README.md

🛠️ Hardware Required

Component Specification Function
Arduino Uno/Nano ATmega328P, 5V Main microcontroller
MPU6050 3-axis Accel + Gyro, I2C Fall detection
MAX30100 Heart Rate + SpO2, I2C Health monitoring
GSM SIM900A Quad-band, AT commands Emergency SMS
GPS Neo-6M NMEA output, UART Location tracking
Li-Po Battery 3.7V, 2000mAh Power supply
Jumper Wires Male-Female Connections

🔌 Pin Connections

Arduino              MPU6050 (I2C)
──────────────────────────────────
A4  (SDA)   ──►     SDA
A5  (SCL)   ──►     SCL
5V          ──►     VCC
GND         ──►     GND
D2          ──►     INT (Interrupt)

Arduino              MAX30100 (I2C)
──────────────────────────────────
A4  (SDA)   ──►     SDA   (shared bus)
A5  (SCL)   ──►     SCL   (shared bus)
3.3V        ──►     VCC
GND         ──►     GND

Arduino              GSM SIM900A
──────────────────────────────────
D10 (TX)    ──►     RX
D11 (RX)    ──►     TX
GND         ──►     GND
12V         ──►     Power

Arduino              GPS Neo-6M
──────────────────────────────────
D3  (TX)    ──►     RX
D4  (RX)    ──►     TX
5V          ──►     VCC
GND         ──►     GND

⚠️ MPU6050 aur MAX30100 dono I2C bus pe hain — Common SDA/SCL use hoti hai!

⚙️ Circuit Diagram

Circuit Diagram

🧠 Working Principle

Fall Detection Algorithm

1. MPU6050 se 3-axis acceleration data
   400Hz sampling rate pe read karo

2. Resultant acceleration calculate karo:
   a = √(ax² + ay² + az²)

3. Threshold check:
   IF a > 2.5g (sudden impact)
   AND post-fall a < 0.3g (lying still)
   THEN → FALL DETECTED! 🚨

4. Accuracy: 96% (tested on 50+ fall simulations)

Health Monitoring

MAX30100 continuously monitor karta hai:
→ Heart Rate (BPM)
→ SpO2 (Blood Oxygen %)
→ Data Serial Monitor pe display hota hai

Emergency Alert System

Fall detect hone pe:
1. GPS Neo-6M se coordinates lo
   (Latitude, Longitude)

2. GSM SIM900A se SMS bhejo:
   "FALL DETECTED!
    Location: lat, long
    Heart Rate: XX BPM
    SpO2: XX%
    Google Maps: maps.google.com/..."

3. Caregiver ke phone pe
   instantly SMS pahunch jaata hai!

💻 Software Setup

Step 1 — Arduino IDE Install Karo

arduino.cc/en/software

Step 2 — Libraries Install Karo

Sketch → Include Library → Manage Libraries

Install karo:
✅ MPU6050 by Electronic Cats
✅ MAX30100lib by OXullo Intersecans
✅ TinyGPS++ by Mikal Hart
✅ SoftwareSerial (built-in)

Step 3 — Caregiver Number Set Karo

fall_detection_system.ino mein:

String caregiverNumber = "+91XXXXXXXXXX"; // Number yahan likho

Step 4 — Upload & Test!

1. Arduino pe Upload karo
2. Serial Monitor kholo (9600 baud)
3. Sensor data dekho
4. Device hath mein pakad ke
   suddenly neeche karo → Test!

📊 Results & Testing

Test Result
Fall Detection Accuracy 96%
False Positive Rate 4%
SMS Alert Delay < 5 seconds
Heart Rate Accuracy ±2 BPM
SpO2 Accuracy ±1%
Battery Life ~8 hours continuous
Fall Simulations Tested 50+

🔬 Tech Stack

Hardware:  Arduino | MPU6050 | MAX30100 | SIM900A | Neo-6M
Software:  C++ | Arduino IDE
Protocol:  I2C | UART | AT Commands | NMEA
Domain:    IoT | Healthcare | Embedded Systems | Wearables

📰 Research Publication

Field Details
Journal International Journal of Research Publication and Reviews
ISSN 2582-7421
Volume 6, Issue 4
Month April 2025
Paper ID IJRPR43113
Topic Fall Detection System with Healthcare Monitoring

📄 Full paper: Research-Paper/IJRPR43113.pdf

🔮 Future Enhancements

  • ESP32 + WiFi — Cloud data upload (ThingSpeak/Firebase)
  • OLED Display — Real-time vitals display on device
  • Android App — Live monitoring dashboard
  • ML Model — Better fall detection with Edge Impulse
  • Temperature sensor — Body temperature monitoring
  • BLE — Wireless data to smartphone

👨‍💻 Developer

Ramsudarshan Maurya 📍 Buddha Institute of Technology, Gorakhpur 🎓 B.Tech ECE — AKTU Lucknow (2025) 🏢 Intern — UniConverge Technologies, Noida 📄 Published Researcher — IJRPR Journal

📄 License

MIT License — freely use, modify and distribute with attribution.

⭐ Agar helpful laga toh Star zaroor do! ⭐

Made with ❤️ by Ramsudarshan Maurya