ML Interaction Region Generation for Video Game Objects
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Solution Overview
Problem
Ensuring realistic interaction of video game characters with virtual objects is challenging due to the complexity and time-consuming process of manually configuring interaction data for multiple objects, which affects the realism of the game.
Innovation Solution
Utilizing a machine learning model to automatically generate interaction data for virtual objects by identifying and classifying interaction regions within the objects, reducing the need for manual configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration of interaction data is used for each virtual object, then interaction realism can be achieved, but the time and labor required increases significantly
Solution Approach 1:
The system enables automatic generation of interaction data by having the game engine automatically detect objects in the game scene, determine their interaction types based on object characteristics, and generate corresponding interaction data without requiring manual configuration. This self-service approach maintains interaction realism while eliminating time-consuming manual data setup.
Solution Approach 2:
The patent replaces the manual mechanical process of configuring interaction data with an automated computational system. The game engine automatically performs object detection, interaction type determination, and data generation, substituting human manual work with machine-based automated processing while maintaining the quality of interaction realism.
2Manufacturing precision
If manual configuration of interaction data is performed for every object, then accurate interaction regions can be defined, but the complexity of the process increases
Solution Approach 1:
The system automatically determines interaction types and generates interaction data by analyzing object characteristics through the game engine, eliminating the need for manual configuration processes. This self-service mechanism maintains accurate interaction region definition while significantly reducing configuration process complexity.
Solution Approach 2:
The system performs preliminary automatic detection and classification of objects and their interaction types during game scene processing. By pre-determining interaction characteristics automatically before gameplay, the system ensures accurate interaction region definition without requiring complex manual configuration processes during development or runtime.
3Reliability
If detailed interaction data is provided for each object, then realistic character interactions can be achieved, but the labor intensity of the process increases
Solution Approach 1:
The game engine automatically performs object detection, interaction type determination, and interaction data generation without requiring manual intervention. This self-service approach achieves realistic character interactions by automatically creating detailed interaction data, thereby dramatically improving the ease of data creation while maintaining interaction realism.
Solution Approach 2:
The patent replaces the labor-intensive manual process of creating detailed interaction data with an automated game engine system that detects objects, determines interaction types, and generates interaction data programmatically. This substitution maintains realistic character interactions while making the data creation process significantly easier and more efficient.
Data Source
AI summary
A data processing apparatus including circuitry that obtains virtual object data representing a virtual object of a video game; inputs the virtual object data to a machine learning (ML) model that determines one or more interaction regions of the virtual object, the one or more interaction regions being regions of the virtual object which can be interacted with by a character of the video game; and obtains, as an output of the ML model, interaction region data representing the determined one or more interaction regions.