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Introduction

Sign language is a visual means of communicating using gestures, facial expressions, and body language, primarily used by deaf and hard of hearing individuals. While traditional sign language interpreters help bridge the communication gap between sign language users and non-signers, the use of technology, specifically augmented reality (AR), has the potential to revolutionize the way sign language is translated and understood. By overlaying digital information onto the real world, AR can provide real-time sign language translation, enhancing communication accessibility for deaf and hard of hearing individuals in various settings.

This thesis aims to explore the use of augmented reality in sign language translation, investigating the potential benefits and challenges associated with this technology. By examining existing literature, conducting empirical research, and analyzing findings, this study seeks to contribute to the growing body of knowledge on the intersection of AR and sign language translation.

Chapter one: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter two: Literature Review
2.1 Overview of sign language and its significance
2.2 Evolution of sign language interpretation
2.3 Augmented reality technology and its applications
2.4 Previous studies on AR in sign language translation
2.5 Benefits of using AR in sign language translation
2.6 Challenges of using AR in sign language translation
2.7 User perspectives on AR-assisted sign language translation
2.8 Legal and ethical considerations
2.9 Future directions in AR-based sign language translation
2.10 Conclusion

Chapter three: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Participant recruitment
3.4 Data analysis techniques
3.5 Ethical considerations
3.6 Pilot testing
3.7 Instrumentation
3.8 Limitations of the study

Chapter four: Discussion of Findings
4.1 Overview of the study sample
4.2 Analysis of data collected
4.3 Comparison of findings with existing literature
4.4 Implications for practice and future research
4.5 Recommendations for improving AR in sign language translation
4.6 Limitations of the study
4.7 Potential biases in the research
4.8 Suggestions for further research

Chapter five: Conclusion and Summary
5.1 Recap of key findings
5.2 Implications for the field
5.3 Contributions to knowledge
5.4 Recommendations for future research
5.5 Conclusion

Thesis Overview:
The use of augmented reality in sign language translation is an innovative approach that has the potential to enhance communication accessibility for deaf and hard of hearing individuals. This thesis aims to explore the benefits and challenges of using AR technology for sign language translation, with a focus on how it can improve communication in various settings. The study will involve a comprehensive literature review, empirical research, and analysis of findings to provide insights into the intersection of AR and sign language translation.

By investigating user perspectives, legal and ethical considerations, and future directions in AR-based sign language translation, this study will contribute to the growing body of knowledge on this topic. The research methodology will involve a detailed description of the research design, data collection methods, participant recruitment, and data analysis techniques. The findings will be discussed in relation to existing literature, with implications for practice and recommendations for future research.

Overall, this thesis aims to shed light on the potential of augmented reality in sign language translation, highlighting its benefits and challenges in enhancing communication accessibility for deaf and hard of hearing individuals. Through a systematic investigation of this topic, this study seeks to provide valuable insights for researchers, practitioners, and policymakers in the field of assistive technology and accessibility.

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