PaceVision: Augmented Reality Sunglasses for Real-Time Running Metrics and Performance

Abstract

PaceVision addresses a gap that runners face in accessing real-time performance metrics without disturbing running form. This project presents an augmented reality (AR) running assistant that utilizes Engo 2 AR sunglasses to display real-time pace data in the runner’s field of view. The system’s key innovation is a dynamic pacing line that provides visual feedback on the current pace in relation to the target pace, thus removing the need to glance at wrist-worn devices. PaceVision utilizes adaptive algorithms that balance responsiveness and stability in pace calculations from GPS data. Furthermore, the system includes an interval training mode that automatically manages workout segments with visual cues. Evaluation results show that the system achieved an average response time under 3 seconds for pace changes. Although traditional watch methods provide slightly better average pace accuracy, PaceVision provides a convenience factor for the runners. Across controlled one-mile trials there was a deviation of 4.4 versus 6.6 seconds; in long-distance runs 7.5 versus 8.6 seconds, and during interval workouts 6.4 versus 7.0 seconds. This research demonstrates the effectiveness of AR for enhancing a user’s running experience.