Research

Biomechanics foundation

Sango's Core Vision engine applies established biomechanics concepts spanning joint kinematics, kinetic-chain sequencing, and sport-specific movement priorities. The same report framework is used on iPhone and web so athletes can compare like-for-like sessions.

Pose estimation

Monocular pose estimation tracks full-body movement from standard phone video without wearable sensors or multi-camera rigs. The visible landmark data is evaluated through sport-specific analysis profiles.

Movement-load analysis

The movement-load layer reviews visible landing mechanics, asymmetries, and compensation patterns to identify body regions that may deserve training attention. It is performance decision support, not a medical assessment.

Repeatable workflow

Sango tests the analysis pipeline for repeatability, cross-platform report compatibility, and safe fallbacks when a movement is not visible clearly enough to score. Learn about Core Vision or open a sample report.

Updated August 2026