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Session Name:

Animation Summit: 'FIFA 22's' Hypermotion: Full-Match Mocap Driving Machine Learning Technology


Capturing authentic athletic motion has always been a challenge for sports games. Traditional optical capture studios restrict a lot of what can be done due to physical space, atmosphere and safety concerns.For years now, the FIFA team has investigated alternative solutions for capturing authentic athletic motion for the game.This session presents an overview of the process that led to FIFA's first 11 player VS 11 player full 90-minute match motion capture session involving professional football (soccer) teams, and how XSens motion capture suits, local positioning system tracking (LPS), and static camera footage drove improvements to the athleticism of animation data, to the realism of ball physics, and provided the motion data needed to power the new machine-learned procedural animation system known as ML Flow.

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