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Assistive Device for Physically Disabled People - Head Mouse

Overview

This project presents an innovative Assistive Device for physically disabled individuals, designed as a wireless head-controlled mouse. Utilizing an Arduino Pro Micro, an MPU6050 gyroscope, and an HC-05 Bluetooth module, this device empowers users to control computers and other electronic devices using simple head movements. The system offers a cost-effective and user-friendly solution, ensuring privacy, portability, and compatibility with various platforms.

Key Features

• Head Movement Control: Translates head movements into cursor movements.
• Privacy-Focused: Uses gyroscope and accelerometer, avoiding camera-based tracking.
• Cross-Platform Compatibility: Works seamlessly across PCs, Macs, and tablets.
• Wireless Connectivity: Utilizes Bluetooth for a wire-free experience.
• Portable Design: Equipped with a rechargeable lithium battery for sustained use.

Table of Contents

1. Introduction
2. Project Architecture
3. Methodology
4. Results
5. Conclusion
6. Future Scope
7. References

Introduction

As technology evolves, accessibility remains a critical focus, particularly for individuals with physical disabilities. This project addresses these needs by developing a wireless head mouse that empowers users to interact with their devices without the need for traditional input methods. The head mouse is a promising assistive technology that not only enhances accessibility but also preserves user privacy and ensures compatibility with a wide range of devices.

According to the World Health Organization (WHO), 16% of the global population lives with some form of disability. This head-controlled mouse aims to bridge the accessibility gap, offering an inclusive solution for those who face challenges using conventional input devices.

Project Architecture

The head mouse system consists of the following components:

1. Arduino Pro Micro: Microcontroller board based on ATmega32u4.
2. MPU6050 Gyroscope: 3-axis accelerometer and 3-axis gyroscope for motion tracking.
3. HC-05 Bluetooth Module: Wireless communication module for device connectivity.
4. Lithium Battery Charger Module (03962A): Ensures reliable power for the device.

Block Diagram

Circuit Design

The system's circuit design integrates the Arduino Pro Micro with the Bluetooth module and MPU6050 sensor to capture and transmit head movement data wirelessly. The lithium battery charger ensures sustained operation, making the device portable and user-friendly.

Methodology

Sensor Data Acquisition

The MPU6050 gyroscope captures head movements, which are processed by the Arduino Pro Micro. The system filters and interprets the sensor data to generate accurate cursor movements.

Bluetooth Communication

The HC-05 module handles wireless communication between the head mouse and the target device. It operates in both master and slave modes, ensuring reliable data transmission.

Charging Module Integration

The lithium battery charger module monitors and manages the power supply, preventing overcharging and optimizing battery life.

Results

The wireless head mouse successfully meets its design objectives, providing accurate and responsive cursor control. Extensive testing and calibration have validated its performance across various environments, highlighting its usability and effectiveness as an assistive device.

Performance Metrics

• Accuracy: High precision in translating head movements to cursor control.
• Latency: Minimal delay, ensuring real-time interaction.
• Battery Life: Sustained usage with efficient power management.

Conclusion

The development of this wireless head mouse marks a significant advancement in assistive technology, offering a user-friendly, privacy-focused solution for individuals with physical disabilities. The system's cross-platform compatibility, combined with its efficient power management, makes it an ideal tool for enhancing accessibility in both work and leisure environments.

Future Scope

Looking ahead, this technology has the potential for significant improvements and broader applications:

• Integration with AI for Gesture Recognition: Enhancing the system's capabilities to recognize complex gestures.
• Voice Command Integration: Combining head movements with voice commands for more intuitive control.
• Wearable Form Factor: Miniaturizing the device for seamless integration into everyday wearables.

References

1. World Health Organization. "Disability and Health." WHO, 2023.
2. Pew Research Center. "Americans Concerned, Feel Lack of Control Over Personal Data." Pew Research Center, 2019.
3. Statista. "Global Tablet Market Forecast." Statista, n.d.
4. Eakin GS, Amodeo KL, Kahlon RS. "Arthritis and its Public Health Burden." Dela J Public Health, 2017.
5. K.C., P.K.S., K.V., and V.R.M. "Automatic Head Gesture Controlled Robot." 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT), 2022.

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