Developing Real-Time Online Machine Learning Algorithms for Augmented Reality and Virtual Reality Applications

1. Introduction 1.1. Background and Motivation 1.2. Objective of the Study 1.3. Structure of the Thesis 2. Augmented and Virtual Reality Overview 2.1. Definition and Concepts 2.2. Current AR and VR Technologies 2.3. Use Cases in Various Industries 3. Machine Learning Algorithms 3.1. Types of Machine Learning 3.2. Supervised vs Unsupervised Learning 3.3. Reinforcement Learning Basics 4. Real-Time Data Processing 4.1. Challenges in Real-Time Processing 4.2. Data Stream Management 4.3. Solutions for Low Latency 5. Integration of AR/VR with Machine Learning 5.1. AR/VR Data Characteristics 5.2. ML Models for AR/VR Applications 5.3. Case Study: Implemented Solutions 6. Developing Online Algorithms 6.1. Concept of Online Learning 6.2. Scalability and Adaptability 6.3. Algorithm Performance Metrics 7. Evaluation and Testing 7.1. Experimental Setup 7.2. Metrics for Evaluation 7.3. Comparison with Existing Solutions 8. Conclusion and Future Work 8.1. Summary of Findings 8.2. Implications for AR/VR Development 8.3. Potential Areas for Further Research