Bryson DeChambeau Uses 3D Pose Tracking to Refine Every Swing Phase

The system runs deep learning algorithms on proprietary 2D and 3D models. It tracks over 30 body, club, and ball keypoints across top of swing, impact, follow-through, and finish phases. Outcome data from each shot feeds iterative swing adjustments.

Motion analysis shifts from subjective coaching cues to measurable kinematic feedback. Practitioners replace guesswork with repeatable data loops that isolate micro-errors at specific swing stages. Workflows now treat swing improvement as an engineering optimization problem.

Bryson DeChambeau partnered with Google Cloud to deploy the system during tournament prep. The approach produced measurable consistency gains in launch angle and club path across multiple rounds.