What question did this study set out to answer?

The aim is to develop a method for accurately reconstructing badminton swing trajectories using event cameras.

April 3, 2026Scientific ReportsOpen Access

Fine reconstruction of badminton swing dynamic trajectory assisted by event camera

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Demonstrates a new method to accurately reconstruct badminton swing dynamics, suggesting improved training tools for athletes.

The aim is to develop a method for accurately reconstructing badminton swing trajectories using event cameras.
Utilized event cameras for high temporal resolution and dynamic range
Converted asynchronous event streams into tensor representations for deep learning
Designed an event optical flow estimation network for motion feature extraction
Implemented a Kalman filter to fuse data from various sensor modalities
Conducted experiments on a dataset of swings from 12 athletes
Achieved a mean absolute error of 8.34 millimeters in trajectory reconstruction
Saw a 42.3% reduction in error compared to traditional methods
Attained a processing frame rate of 82 FPS, meeting real-time standards
Event optical flow module contributed 52.0% to performance gain
Significant differences in swing metrics between professional and amateur athletes

Wang et al. (2026) studied this question.

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