Abstract
High-fidelity embedded systems have become fundamental to the advancement of Virtual Reality (VR) applications by enabling real-time sensory feedback, immersive rendering, and low-latency processing. This paper explores the architectural and algorithmic strategies essential for designing embedded platforms that meet the stringent performance and power constraints of VR systems. By integrating advanced processors, real-time operating systems (RTOS), sensor fusion algorithms, and efficient graphical pipelines, these systems ensure seamless interaction and user immersion. A comparative analysis of latency and throughput across different embedded platforms is presented, with insights into optimization techniques for VR-specific workloads

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.