Game Piece Interaction Detection Using Sensing Devices
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Solution Overview
Problem
Physical games with multiple game pieces require time-consuming complex calculations to determine engagement results, slowing gameplay due to the need for measuring distances, angles, and applying engagement rules.
Innovation Solution
Implementing a system with sensing devices such as mobile computing devices, cameras, RFID sensors, and IMUs to identify game pieces and calculate their interactions based on their characteristics and locations, allowing for real-time determination of engagement outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement and calculation methods are used to determine engagement results, then measurement precision can be maintained, but the time required for each engagement increases significantly
Solution Approach 1:
The patent replaces manual mechanical measurement methods with electronic sensing devices (cameras, RFID sensors, IMUs) that automatically detect game piece positions, orientations, and movements. This substitution eliminates the need for manual measurement while maintaining precision through digital data capture and processing.
Solution Approach 2:
The patent introduces sensing devices as intermediaries between the physical game pieces and the engagement calculation system. These devices capture physical state data and transmit it to a processing system that determines engagement results, thereby automating the measurement and calculation process without requiring direct manual intervention.
2Reliability
If complex engagement rules and algorithms are applied to determine battle results, then the accuracy of engagement outcomes is improved, but the complexity of the system increases
Solution Approach 1:
The patent enables the system to automatically apply engagement rules and algorithms without requiring external manual calculation. The sensing devices and processing system work together to self-determine engagement outcomes based on captured data, eliminating the need for players to manually apply complex rules while maintaining accuracy.
Solution Approach 2:
The patent implements a feedback loop where sensing devices continuously monitor game piece positions and states, the system processes this data through engagement algorithms, and the results are communicated back to players. This automated feedback mechanism handles complex calculations internally while presenting simplified outcomes to users.
3Productivity
If multiple sensing devices and calculation algorithms are implemented, then the speed of determining engagement results is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple sensing device types (cameras, RFID sensors, IMUs) into an integrated sensing system that simultaneously captures various aspects of game piece states. This merging allows parallel data collection from multiple sources, accelerating the engagement determination process while managing complexity through unified system architecture.
Solution Approach 2:
The patent implements preliminary action by having sensing devices continuously monitor and pre-process game piece data before engagements occur. Positions, orientations, and other relevant parameters are captured and prepared in advance, allowing the system to quickly determine engagement results when battles occur without performing all calculations from scratch.
Data Source
AI summary
Example game systems and methods are described. In one implementation, a sensing device determines an identity of a game piece in a physical space and detects a movement action associated with the game piece. A computing device calculates a distance and direction associated with the movement action and determines a result of the movement action based on the distance, the direction, and the identity of the game piece.