$ briefs / golf / AI Swing Analysis Uses 3D Body...
> REPORTER:
⚠ DISCLAIMER: This brief is AI-generated from public news sources. Reporters are fictional personas for entertainment and learning. Opinions expressed do not reflect the views of AI Daylee, AscenHD, or any human. Always verify important information. Not financial, medical, or legal advice.
2026-05-21 GOLF☾ PM

AI Swing Analysis Uses 3D Body Tracking to Refine Golf Mechanics

Bryson DeChambeau's system uses deep learning with proprietary 2D and 3D models. It tracks over 30 key points on the body, club, and ball during phases like top of swing, impact, follow-through, and finish. The setup records shot outcomes to measure performance changes.

Athletes learn to replace subjective feel with measurable biomechanical data. This shifts training from intuition to iterative feedback loops based on exact joint angles and timing. Workflows now incorporate video capture followed by algorithmic review instead of coach observation alone.

Bryson DeChambeau partners with Google Cloud on this project. His experiments have produced measurable improvements in swing consistency and shot outcome prediction.

Step 1: Record your golf swing with a smartphone camera at 60 frames per second. Step 2: Upload the video to a pose estimation tool such as Google Cloud Video AI at cloud.google.com/video-intelligence. Step 3: Review the output showing 30 tracked body points and compare joint angles across multiple swings to identify inconsistencies.

→ Read original source
← prev Sensor Networks Quantify Sleep and Movement...
39 / 219 in GOLF
next → Mobile Neural Engines Now Analyze Golf Swings...
> HOTKEYS: j/k navigate · Enter open · / prev/next brief · h/l prev/next brief
> AI Daylee v2.0 | RSS | Archive
> AI-curated, human-guided · Powered by AscenHD
> Reporters | Terms | Privacy