🧤 Smart Gloves Health Monitoring System

A wearable IoT-based health monitoring platform that continuously monitors patient vital signs using sensor-enabled smart gloves. The system collects physiological data, processes it through an ML-powered backend for risk assessment, and displays real-time health status on a mobile application, enabling proactive healthcare monitoring.

Overview

The Smart Gloves Health Monitoring System is designed to provide continuous patient monitoring by integrating wearable sensors, IoT communication, machine learning, and mobile technologies. The gloves collect vital health parameters, transmit them to a backend server through an ESP32 microcontroller, and classify the patient's condition into different risk levels. The processed information is then displayed on a real-time mobile dashboard, allowing caregivers and healthcare professionals to monitor patients efficiently.

Features

Real-Time Health Monitoring

• Continuous monitoring of:
  • Body Temperature
  • Heart Rate
  • Blood Oxygen (SpO₂)
  • Galvanic Skin Response (GSR)

ML-Based Risk Assessment

• Intelligent patient health classification
• Four health status levels:
  • 🟢 Normal
  • 🟡 Moderate
  • 🟠 High
  • 🔴 Critical

End-to-End IoT Pipeline

• Sensor data collection using ESP32
• WiFi-based data transmission
• Backend data processing
• Real-time mobile application updates

Mobile Dashboard

• Live health status monitoring
• Patient-wise vital statistics
• Instant visualization of sensor readings
• User-friendly interface

Critical Health Alerts

• Detects abnormal vital signs
• Generates alerts for critical patient conditions
• Enables timely medical intervention

🛠️ Tech Stack

Category	Technologies
Hardware	ESP32, TMP117, MAX30102, GSR Sensor
Firmware	Arduino IDE (WiFi Communication)
Backend	Node.js, Express.js, Python (Machine Learning)
Mobile	React Native, Expo
Database	MongoDB

🚀 Installation

Prerequisites

• Node.js
• Python 3.x
• MongoDB
• Arduino IDE
• Expo CLI
• Git

Clone the Repository

git clone https://github.com/sharadhiadiga/smartgloves.git

cd smartgloves

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Backend Setup

Navigate to the backend directory:

cd backend-node

Install the required dependencies:

npm install

Start the backend server:

npm start

If using the ML prediction service, install the required Python dependencies and run the Python server as specified in the backend configuration.

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Mobile Application Setup

Open a new terminal and navigate to the mobile application:

cd mobile-app

Install dependencies:

npm install

Start the Expo development server:

npx expo start

Scan the QR code using the Expo Go app or run the application on an Android emulator or iOS simulator.

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ESP32 Firmware Setup

Navigate to:

firmware/esp32_wifi_health_glove/

1. Open the project in Arduino IDE.
2. Configure your WiFi credentials.
3. Select the ESP32 board and the appropriate COM port.
4. Upload the firmware to the ESP32 device.

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Database Setup

1. Install and start MongoDB.
2. Configure the MongoDB connection string in the backend configuration.
3. Start the backend server to begin storing incoming sensor data.

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Access the Application

• Backend API: Runs on the configured Express server.
• Mobile App: Launch using Expo Go or an emulator after running npx expo start.
• ESP32: Begins transmitting sensor data to the backend over WiFi once connected.

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🚀 Future Work

• Integration with cloud platforms (AWS/Azure)
• Doctor and caregiver web dashboard
• Push notifications and SMS alerts
• ECG and Blood Pressure sensor support
• Historical health trend visualization
• AI-based anomaly detection
• Multi-patient monitoring
• Electronic Health Record (EHR) integration
• Voice assistant support
• Wearable battery optimization