EA

The single Game Engines patent focuses on a team-based revival mechanic for battle royale games. When a player is eliminated, they leave behind a physical banner item at the location where they fell. A teammate must travel to that spot, collect the banner, and then carry it to a separate beacon to complete the revival. This two-step process, requiring both retrieval and activation at distinct locations, creates a coordinated team effort rather than a simple button press.

Four AI & Machine Learning patents cover a range of problems across character coordination, animation, accessibility, and player assistance. One filing describes a ring-based algorithm that matches multiple characters to multiple objectives simultaneously, handling complex coordination tasks without the computational cost of evaluating every possible combination. A separate patent takes a different angle on character behavior, capturing how real athletes deviate from standard movement patterns and storing only those deviations as a lightweight model, rather than recording full volumetric data for every athlete. This approach also allows the system to apply aggregate movement traits to athletes who have never been directly captured. The remaining 2 filings address player experience more directly: one patents an AI system that reads live gameplay state data and produces spoken Audio descriptions covering character positions, object distances, and environmental context for visually impaired players, and another uses geometric analysis of virtual environments to determine when and how to guide players through spatial obstacles, drawing on the shape and layout of the environment itself rather than relying on player performance history alone.