Augmented Reality Player Action Recommendations
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Solution Overview
Problem
Current augmented reality systems for gaming lack real-time player action recommendations based on dynamic game conditions and opponent behavior, limiting player engagement and decision-making.
Innovation Solution
The system generates a live video signal of the game scene, determines game element values in real-time, and provides player action recommendations based on game rules and opponent behavior, displayed to the user through an augmented reality viewer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If real-time player action recommendations are provided based on dynamic game conditions and opponent behavior, then player engagement and decision-making are enhanced, but system complexity and processing requirements increase
Solution Approach 1:
The system segments the complex task of providing player recommendations into distinct functional modules: a live video signal generation module that captures game scenes, a game element value determination module that processes game state data, a recommendation generation module that applies game rules and opponent behavior analysis, and a display module that presents recommendations to players through augmented reality viewers. This segmentation allows each module to be optimized independently while maintaining overall system adaptability.
Solution Approach 2:
The patent introduces an intermediary processing layer between the raw game data and the player recommendations. This intermediary module determines game element values from live video signals and integrates them with opponent behavior data, effectively mediating between complex input data sources and the final recommendation output. This intermediary layer simplifies the overall system architecture by preprocessing and structuring data before it reaches the recommendation engine.
2Loss of time
If real-time determination of game element values and player action recommendations is implemented, then timely decision-making is enabled, but processing speed and computational resources are consumed
Solution Approach 1:
The system performs preliminary determination of game element values from live video signals before generating player action recommendations. By pre-processing and determining the values of gaming elements (such as card values in poker or chip stacks in blackjack) in real-time, the system prepares structured data that can be quickly combined with opponent behavior analysis to generate recommendations, reducing the computational burden during the final recommendation generation phase.
Solution Approach 2:
The patent implements continuous processing of live video signals to determine game element values without interruption throughout the game. This continuous action ensures that the system maintains an up-to-date understanding of the game state, allowing it to provide timely recommendations as game conditions evolve. The continuous processing pipeline keeps computational resources efficiently utilized by maintaining a steady flow of data transformation rather than periodic batch processing.
3Ease of operation
If augmented reality display is used to show player action recommendations, then player experience is enhanced, but device complexity and cost increase
Solution Approach 1:
The patent uses augmented reality technology to create a visual copy or overlay of player action recommendations directly in the player's field of view. Instead of requiring players to look away from the game table to check strategy cards or decision aids, the system projects virtual information (such as recommended actions, odds calculations, or strategy hints) as an overlay on the physical game scene. This copying approach enhances player experience by integrating information delivery seamlessly into the existing game environment without requiring additional physical displays or interfaces.
Data Source
AI summary
An augmented reality method for providing player action recommendations in real time includes generating a live video signal of a scene associated with a field of view of a user, wherein the scene comprises at least one gaming element associated with a game having a plurality of game rules. The method further includes determining, based on the live video signal, at least one value for each gaming element of the at least one gaming element in real time. The method further includes determining, based on the at least one gaming value and at least one of the plurality of rules, a player action recommendation in real time. The method further includes displaying an indication of the player action recommendation to the user in real time.