EA filed 2 patents across 2 categories: Game Engines (1) and AI & Machine Learning (1).
The Game Engines patent describes a respawn system where eliminated players drop collectible banner items that teammates can retrieve and use at designated beacons to bring them back into battle royale matches. The AI & Machine Learning patent covers a system that captures the distinctive movement patterns of real athletes and applies them to game characters, allowing virtual players to replicate the motion styles of their real-world counterparts.
EA's game engine patent tackles player elimination in battle royale games by introducing a multi-step revival process. When a player is defeated, they drop a banner that teammates must physically retrieve from the death location and carry to a separate respawn beacon to bring them back. This creates tactical decisions around risk and timing, as teams must choose whether to immediately recover a fallen teammate's banner or retreat to safety, turning resurrection into a coordinated team objective rather than an instant action.
The AI and machine learning patent focuses on reproducing athlete-specific movements without the massive storage requirements of full volumetric capture. Instead of recording complete animation datasets for each athlete, the system calculates only the unique differences between an individual's movement style and standard animations, creating a compact "difference model" that requires at least 10 times less storage. This approach also allows the creation of aggregate models that can apply realistic movement signatures to athletes who were never directly captured, expanding coverage beyond those who participated in motion capture sessions.
All data sourced from USPTO patent filings. Google Patents may take several weeks to index recent publications. If a link is unavailable, search for the patent number at USPTO Patent Public Search.