Bridge Performance Deviation Analysis for Cheating Detection
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Solution Overview
Problem
Detecting cheating in bridge games without video evidence, as existing methods rely on decoding illegal signals, which cheaters can evade, and quantifying player performance to identify deviations from statistical norms.
Innovation Solution
A system that acquires board data from bridge games, normalizes it, and applies statistical analysis to detect deviations in performance metrics like DDR, comparing them against thresholds to identify potential cheating and alert administrators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video evidence and decoding of illegal signals are used to detect cheating, then cheating detection capability is improved, but cheaters can evade detection by using non video-detectable methods
Solution Approach 1:
The patent replaces the mechanical/video-based cheating detection system with a statistical analysis system. Instead of using cameras to decode illegal signals, the system uses statistical methods to analyze game data and identify deviations from expected performance patterns. This substitution makes cheating detection independent of specific cheating methods, whether video-detectable or not.
Solution Approach 2:
The patent introduces statistical analysis as an intermediary between game play and cheating detection. Rather than directly observing player behavior through video, the system uses statistical models of normal play as a mediator to indirectly detect cheating through performance deviations. This intermediary layer allows detection without needing to see or know the specific cheating method being used.
2Device complexity
If statistical analysis of performance data is used to detect cheating, then reliance on video evidence is reduced, but complexity of data processing increases
Solution Approach 1:
The patent extracts only the essential performance data needed for cheating detection from the complex game environment. By focusing on specific measurable outcomes (tricks taken, bidding patterns, play decisions) rather than attempting to analyze all game aspects, the system reduces data processing complexity while maintaining effective cheating detection capability.
3Measurement precision
If detailed board data is collected and analyzed, then cheating detection accuracy is improved, but data acquisition and processing time increases
Solution Approach 1:
The patent applies partial action by collecting and analyzing only the specific board data elements most relevant to cheating detection, rather than processing all possible game data. This selective approach maintains high detection accuracy while reducing overall data processing time and resource requirements.
Data Source
AI summary
Examples herein include systems for detecting cheating and changes in mental performance in card games, including bridge. The system can acquire board data for multiple events, the events including bridge games. For each event, determining performance values for a player based on the board and play data, wherein the performance values may additionally be based in part on timing data. The system can detect a deviation of by comparing the performance values against a threshold, wherein the threshold is based on past performance of known cheating players or the individual player. Then the system can alert a user when the likelihood of cheating or other changes exceeds a threshold.