The influence of vision is taking one-step ahead with the introduction of sophisti-cated eye-tracking and gaze-tracking techniques, which track the movement of the eye and the gaze location to control various applications. This paper describes in detail the low-cost hardware development and the software architecture for a real-time eye tracking based on color system using the open-source image-processing framework of AForge.NET. The designed system uses a USB camera to detect the eye movements and uses EuclideanColorFiltering to filter colors, and then it detects the biggest object between them and gets the location of that object. The system shows to the patient some question and answers according to the questions, he will look at one of the answers, then, it will be highlighted. By this way, the doctor will know what is wrong with the patient and what should be done to cure him. This provides a highly useful alternative control system for a person suffering from ALS or in Vegetative state of brain stroke. The software system is in Kurdish language and it is designed for the patient in a way to be relaxed and be as simple as possible. Test results on systems on the correct locations and error percentage shows the per-formance of the developed eye tracking system.
Inhaltsverzeichnis
- ABSTRACT
- DEDICATION
- ACKNOWLEDGEMENTS
- CHAPTER 1: INTRODUCTION
- 1.1: Introduction
- 1.2: Problem Statement
- 1.3: Objectives
- 1.4: Scope of the Study
- 1.5: Significance of the Study
- 1.6: Organization of the Thesis
- CHAPTER 2: LITERATURE REVIEW
- 2.1: Eye Tracking Technology
- 2.2: Eye Tracking Applications
- 2.3: Eye Tracking Techniques
- 2.4: Color-Based Eye Tracking
- 2.5: Existing Eye Tracking Systems
- CHAPTER 3: SYSTEM DESIGN AND IMPLEMENTATION
- 3.1: System Architecture
- 3.2: Hardware Components
- 3.3: Software Development
- 3.4: Image Processing Techniques
- 3.5: User Interface Design
- CHAPTER 4: SYSTEM EVALUATION AND TESTING
- 4.1: Performance Evaluation
- 4.2: Accuracy and Precision
- 4.3: User Experience
- 4.4: Test Results and Analysis
- CHAPTER 5: CONCLUSIONS AND FUTURE WORK
- 5.1: Conclusions
- 5.2: Future Work
- REFERENCES
- APPENDIX A: SOURCE CODE
Zielsetzung und Themenschwerpunkte
This thesis aims to develop a low-cost, real-time eye-tracking system based on color detection for patients with disabilities. The system utilizes a USB camera and image processing techniques to track eye movements and provide a communication interface for individuals with limited mobility.
- Development of a real-time eye-tracking system using color detection.
- Implementation of a user-friendly interface for patients with disabilities.
- Evaluation of the system's accuracy, precision, and user experience.
- Exploration of the potential applications of the system in communication and assistive technology.
- Contribution to the field of low-cost eye-tracking solutions for individuals with disabilities.
Zusammenfassung der Kapitel
Chapter 1 introduces the concept of eye-tracking technology and its applications, outlining the problem statement, objectives, scope, significance, and organization of the thesis. Chapter 2 provides a comprehensive literature review on eye-tracking technology, including different techniques, applications, and existing systems. Chapter 3 delves into the system design and implementation, covering the system architecture, hardware components, software development, image processing techniques, and user interface design. Chapter 4 focuses on the system evaluation and testing, including performance evaluation, accuracy and precision analysis, user experience assessment, and test results. Chapter 5 concludes the thesis by summarizing the findings, discussing limitations, and proposing future directions for research and development.
Schlüsselwörter
The keywords and focus themes of the text include eye-tracking, color detection, real-time systems, image processing, AForge.NET, disability, communication, assistive technology, user interface design, system evaluation, and performance analysis. The thesis explores the development and evaluation of a low-cost eye-tracking system based on color detection, aiming to provide a communication interface for individuals with disabilities.
- Quote paper
- Ahmed Yousify (Author), 2014, Eye-Reaction: A Real-Time Video Based on Color Eye-Tracking System for Patients with Disabilities, Munich, GRIN Verlag, https://www.grin.com/document/283044
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