DEVELOPMENT OF A MECHATRONIC GLOVE FOR SIGN LANGUAGE INTERPRETATION
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DEVELOPMENT OF A MECHATRONIC GLOVE FOR SIGN LANGUAGE INTERPRETATION
ABSTRACT
Communication barriers between hearing-impaired individuals and the general public remain a major challenge, particularly in environments where sign language interpreters are unavailable. This study presents the design and development of a mechatronic glove for real-time sign language interpretation, aimed at enhancing accessibility and promoting inclusive communication. The glove integrates flex sensors, accelerometers, and pressure sensors to capture hand gestures and finger movements associated with common sign language symbols. Sensor data are processed using an embedded microcontroller, which applies a gesture-classification algorithm based on threshold analysis and pattern recognition. The interpreted gestures are then translated into audible speech output and text display through a wireless communication interface.
Prototype testing demonstrated an average gesture-recognition accuracy of 92.4% for the selected signs, with an average system response time of 0.8 seconds, indicating the glove’s potential for real-time application. Findings also showed that the device was lightweight, user-friendly, and adaptable to different hand sizes. The study highlights the potential of mechatronics and assistive technologies in bridging communication gaps for individuals with speech or hearing impairments. It recommends further development using machine learning models, extended gesture datasets, and enhanced wireless modules to improve robustness, speed, and scalability.
The mechatronic glove represents a practical, low-cost innovation capable of supporting inclusive communication in schools, hospitals, workplaces, and public service environments
TABLE OF CONTENTS
DEVELOPMENT OF A MECHATRONIC GLOVE FOR SIGN LANGUAGE INTERPRETATION
CHAPTER ONE: INTRODUCTION
1.1 Background to the Study
1.2 Statement of the Problem
1.3 Aim and Objectives of the Study
1.3.1 Aim of the Study
1.3.2 Specific Objectives
1.4 Research Questions
1.5 Significance of the Study
1.6 Scope of the Study
1.7 Limitations of the Study
1.8 Definition of Operational Terms
CHAPTER TWO: LITERATURE REVIEW
2.1 Concept of Sign Language Interpretation
2.2 Overview of Assistive Communication Technologies
2.3 Mechatronics: Definition and Applications
2.4 Sensor Technologies for Gesture Recognition
2.4.1 Flex Sensors
2.4.2 Accelerometers
2.4.3 Pressure and Contact Sensors
2.5 Microcontrollers for Embedded Gesture Processing
2.6 Machine Learning and Pattern Recognition Techniques
2.7 Existing Sign Language Interpretation Devices
2.8 Gaps in the Current Technologies
2.9 Theoretical and Conceptual Framework
2.10 Summary of Literature Review
CHAPTER THREE: METHODOLOGY
3.1 Research Design
3.2 System Design Methodology
3.3 System Architecture and Block Diagram
3.4 Hardware Components
3.4.1 Flex Sensor Module
3.4.2 Accelerometer Module
3.4.3 Microcontroller Unit
3.4.4 Wireless Communication Module
3.4.5 Power Supply Unit
3.5 Software Design and Algorithm Development
3.6 Workflow Diagram of Gesture Interpretation
3.7 System Integration and Testing Procedures
3.8 Evaluation Metrics (Accuracy, Response Time, Stability)
3.9 Ethical Considerations
CHAPTER FOUR: RESULTS, ANALYSIS, AND DISCUSSION
4.1 System Implementation
4.2 Evaluation of Sensor Performance
4.3 Gesture Recognition Results
4.4 Accuracy, Speed, and Reliability Analysis
4.5 User Testing and Usability Assessment
4.6 Comparison with Existing Systems
4.7 Discussion of Findings
CHAPTER FIVE: SUMMARY, CONCLUSION, AND RECOMMENDATIONS
5.1 Summary of the Study
5.2 Conclusion
5.3 Contributions to Knowledge
5.4 Recommendations
5.5 Suggestions for Further Studies
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