How AI Camera Coaching Can Guide Movement

Camera coaching works best when the system separates observation from conversation. A deterministic movement layer can evaluate landmarks and motion, while the conversational layer explains what to change.

A guided session can move from permission and calibration into watching, following, correction, re-checking and an independent attempt. A teacher reference pose gives the user a clear visual target instead of generic encouragement.

The goal is immediate, understandable feedback such as changing foot position, knee alignment or range of motion, while avoiding claims the camera cannot establish reliably.