Invention Grant
- Patent Title: Particle-based inverse kinematic rendering system
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Application No.: US16741645Application Date: 2020-01-13
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Publication No.: US11113860B2Publication Date: 2021-09-07
- Inventor: Paolo Rigiroli , Hitoshi Nishimura
- Applicant: Electronic Arts Inc.
- Applicant Address: US CA Redwood City
- Assignee: Electronic Arts Inc.
- Current Assignee: Electronic Arts Inc.
- Current Assignee Address: US CA Redwood City
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G06T13/40
- IPC: G06T13/40 ; G06N3/04 ; A63F13/52

Abstract:
The present disclosure provides embodiments of a particle-based inverse kinematic analysis system. The inverse kinematic system can utilize a neural network, also referred to as a deep neural network, which utilizes machine learning processes in order to create poses that are more life-like and realistic. The system can generate prediction models using motion capture data. The motion capture data can be aggregated and analyzed in order to train the neural network. The neural network can determine rules and constraints that govern how joints and connectors of a character model move in order to create realistic motion of the character model within the game application.
Public/Granted literature
- US20200294299A1 PARTICLE-BASED INVERSE KINEMATIC RENDERING SYSTEM Public/Granted day:2020-09-17
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