Well, Actually: Bryson DeChambeau's Swing Gets the Google Cloud Treatment
Bryson DeChambeau uses Google Cloud's AI system with deep learning and proprietary 2D and 3D biomechanical models. The system tracks over 30 critical points across his body, club, and ball. It analyzes swing phases including top of swing, impact, follow-through, and finish.
This teaches you that granular motion capture plus phase-based analysis beats gut feel. You can apply this to any repetitive physical skill: break the movement into phases, measure each one, find the deviation. The principle is temporal segmentation of continuous action.
Bryson DeChambeau, professional golfer, in partnership with Google Cloud. The source does not specify win rate changes or handicap improvements resulting from this system.
Step 1: Open your phone's slow-motion video camera and record yourself performing a repeatable motion, ten repetitions minimum. Step 2: Use a free pose estimation app like MoveNet through TensorFlow's web demo to identify body keypoints in one frame. Step 3: Manually timestamp three phases of your motion in a notes app, then compare two repetitions side-by-side to spot deviation. Expected outcome: you will identify one inconsistency you cannot feel.