ESP32 MPU6050 Step Counter & Fall Detection System

This project is a simple IoT-based step counting and fall detection system using an ESP32 microcontroller and the MPU6050 sensor. The system displays real-time step count on an OLED display and provides a web-based interface to monitor accelerometer and gyroscope data along with step count and fall detection alerts.

Features

• Step Counting: Counts steps using accelerometer data from the MPU6050.
• Fall Detection: Detects potential falls based on specific threshold conditions using both accelerometer and gyroscope data.
• OLED Display: Displays real-time step count on a 128x64 OLED screen.
• Wi-Fi Access Point: ESP32 operates as a Wi-Fi hotspot, allowing users to connect and view data via a web server.
• Web Interface: Displays real-time accelerometer and gyroscope data, step count, and fall alerts on a webpage that automatically refreshes every second.

## Hardware Requirements - **ESP32** (WROOM or any compatible model) - **MPU6050** (Accelerometer & Gyroscope Sensor) - **SSD1306** OLED display (128x64 pixels) - **Jumper Wires** for connections

Libraries Used

• Wire.h: I2C communication for MPU6050.
• WiFi.h: For Wi-Fi access point and web server functionality.
• WebServer.h: To host the webpage on ESP32.
• Adafruit_GFX.h and Adafruit_SSD1306.h: For controlling the OLED display.

Installation and Setup

1. Connect the Hardware:

   • MPU6050: Connect the sensor to ESP32 using I2C pins (SDA and SCL).
   • SSD1306: Connect the OLED display to ESP32 using I2C pins.

2. Upload the Code:

   • Use Arduino IDE or PlatformIO to upload the code to your ESP32.
   • Ensure you have installed the necessary libraries (Wire, WiFi, Adafruit_GFX, Adafruit_SSD1306).

3. Access the Web Interface:

   • After uploading the code, the ESP32 will start a Wi-Fi Access Point.
   • Connect to the Wi-Fi network ESP32_Hotspot with the password password123.
   • Open a browser and navigate to the ESP32 IP address (displayed in the Serial Monitor) to view real-time data.

How It Works

• The MPU6050 sensor reads accelerometer and gyroscope data.
• The step counting logic is based on a simple threshold mechanism, incrementing the step count when the Y-axis acceleration exceeds a specific value.
• Fall detection is triggered when the Z-axis acceleration falls below a threshold while the gyroscope detects significant movement on the X-axis.
• The OLED display shows the current step count.
• The web server allows remote monitoring, displaying accelerometer, gyroscope data, and step count in real-time. If a fall is detected, a warning message ("Man Down") is shown.

Project Structure

• setup(): Initializes the MPU6050 sensor, OLED display, and Wi-Fi access point.
• loop(): Continuously reads sensor data, updates step count, checks for falls, and serves the web page.
• handleRoot(): Sends the HTML content for the web interface with live data.

Future Improvements

• Fine-tuning the thresholds for step counting and fall detection based on further testing.
• Adding data logging or notification alerts when a fall is detected.
• Extending the system to support more sensors and functionalities like GPS for location tracking.

License

This project is open-source and available for use under the MIT License.