A System to Visualize Differences in Paddling Timing between Teammates in Rowing

The use of wearable devices and motion sensors has had a significant impact on sports. In this study, we propose a method to improve rowing performance by analyzing 3-axis acceleration data from smartwatches worn by rowers. The goal is to enhance synchronization and timing among multiple rowers on the same boat, which is crucial for competitive rowing. We conducted experiments using a Concept2 rowing ergometer and collected data from rowers wearing Apple Watches. The collected data was processed through filtering, peak detection, and distance calculations (DTW and Euclidean). Our evaluation demonstrated that the proposed method effectively identified discrepancies, providing a quantitative basis for performance improvement. The results emphasize the potential of wearable technology in providing precise, real-time feedback to rowers, ultimately assisting in better coordination and technique refinement.