IoT-Enabled Autonomous Wheelchair with Real-Time Health Monitoring and Intelligent Navigation Assistance

Project Code :TEMBMA3786

Objective

The objective is to create an IoT-enabled smart wheelchair that offers real-time health monitoring and autonomous navigation, improving safety, mobility, and independence for users.

Abstract

This project presents an IoT-enabled autonomous wheelchair using Arduino Mega, DC motors, motor drivers, heartbeat sensor, temperature sensor, Bluetooth module, NodeMCU, GPS module, GSM module, ultrasonic sensor, voice module, and buzzer. The system continuously monitors the user's heart rate and body temperature while uploading the data to an IoT platform for remote monitoring. Ultrasonic sensors provide obstacle detection for safe navigation, and the voice module enables voice-controlled wheelchair operation. GPS and GSM modules support real-time location tracking and emergency alerts. The proposed system offers an intelligent, safe, and user-friendly mobility solution that enhances independence and healthcare support for individuals with physical disabilities.

Keywords: Arduino Mega, Smart Wheelchair, IoT, Health Monitoring, GPS, GSM, Voice Control, Assistive Technology.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware Components

  • Arduino Mega 2560
  • LCD
  • NodeMCU
  • DC Motor (2 units)
  • Dummy Shaft (2 units)
  • Motor Driver
  • Wheels (4 units)
  • Robot Chassis
  • Ultrasonic Sensor
  • Heartbeat Sensor
  • Temperature Sensor
  • Buzzer
  • Power Supply

Software requirements:

  • Embedded c
  • Python idle

Learning Outcomes

Understanding Arduino Mega pin diagram and architecture

Installing and configuring Arduino IDE

Setting up Arduino for wheelchair control and monitoring applications

Introduction to IoT data logging using NodeMCU and ThingSpeak

Basic coding with Arduino Mega for mobility and health monitoring

Working with ultrasonic, heartbeat, and temperature sensors

Interfacing NodeMCU with Arduino for IoT-based healthcare applications

Understanding power supply design for robotic mobility systems

About Project Development Life Cycle:

  • Planning and Requirement Gathering (software, tools, hardware components, etc.)
  • Schematic preparation
  • Code development and debugging
  • Hardware setup and debugging
  • Development of the Project and Output testing

Practical exposure to:

  • Hardware and software tools
  • Solution providing for real-time problems
  • Working with a team/individually
  • Working on creative ideas

Project development skills:

  • Problem analysis
  • Problem solving
  • Creativity and imagination
  • Programming skills (Python)
  • Deployment
  • Testing
  • Debugging
  • Project presentation
  • Report writing

Demo Video

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