Auf Maschinenlernen Basierende Spielersteuerungen in Vollständig Gesteuerten Kamerasystemen

Details

Veröffentlichungs-Nr.

EP4796193

Anmeldetag

17. Februar 2026

Veröffentlichung

26. August 2026

Rechtsraum

EP

IPC

A63F13/422, A63F13/67

Abstract

Systems and methods described herein relate to systems and methods for managing player controls within a fully controlled camera system for an interactive environment. The system automatically renders camera views from different orientations, creating cinematic cuts without direct player input. In response to a cut from a first orientation to a second, the system establishes a new control scheme relative to the new view to maintain intuitive gameplay. A transition to the second control scheme is delayed based on a predicted adaptation time generated by a machine-learning model. This model analyzes the current game state context to determine how long a specific player needs to reorient. Additionally, the system utilizes player hints provided via input devices, converting these hints into contextual weights via a weighting model. These weights influence the scoring of potential camera points, allowing the player to guide camera selection without disrupting the cinematic experience.

Anmelder

Firma

Skydance Silicon Valley, LLC

Land

🇺🇸 USA

Fachgebiete