Disc-Wheel Gaming Controller for Skill-Balanced Multiplayer Play
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Solution Overview
Problem
Existing gaming systems present a barrier to entry for non-hardcore gamers due to complex controllers, high hardware and software costs, and an unbalanced fun factor between experienced and inexperienced players, making it difficult for them to enjoy multiplayer games together.
Innovation Solution
A gaming console and controller system that includes a game balancing system to adjust game features on-the-fly based on player skill levels, using inertial measurement units, machine learning, and RFID technology to enhance gameplay experience and facilitate balanced multiplayer interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If game difficulty and features are designed for hardcore gamers, then gameplay quality and challenge are improved, but accessibility and ease of operation deteriorate for non-hardcore gamers
Solution Approach 1:
The system dynamically adjusts game parameters such as difficulty level, enemy health, weapon damage, and resource availability based on real-time detection of player skill level. This allows the game to adapt its complexity and challenge to match each player's capabilities, making it accessible to non-hardcore gamers while maintaining engaging gameplay for experienced players.
Solution Approach 2:
The system changes multiple game parameters simultaneously based on detected skill level, including but not limited to: enemy statistics, player starting equipment, mission objectives, and available resources. These parameter adjustments create a customized gameplay experience that scales appropriately for each player's skill level.
2Reliability
If skill-based adjustments are made to balance gameplay, then fairness and fun factor are improved, but device complexity and measurement precision requirements worsen
Solution Approach 1:
The system automatically detects player skill level through analysis of in-game performance data and autonomously adjusts game parameters without requiring manual input from players or complex external measurement devices. The game itself generates the data needed for skill assessment through normal gameplay metrics.
Solution Approach 2:
The system continuously monitors player performance and provides real-time feedback by adjusting game parameters in response to detected skill level. This closed-loop feedback mechanism ensures gameplay remains balanced and engaging by automatically compensating for skill differences between players.
3Measurement precision
If comprehensive performance data is collected and analyzed, then skill level detection accuracy is improved, but loss of information and processing requirements worsen
Solution Approach 1:
The system extracts only the most relevant performance metrics from comprehensive gameplay data, such as accuracy, reaction time, and success rates, to determine skill level. By focusing on key indicators rather than processing all available data, the system achieves accurate skill detection while minimizing processing load and information loss.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables inexperienced players to enjoy multiplayer games by balancing gameplay and outcomes with experienced players, enhancing accessibility and inclusivity without limiting the functionality of the game.
Implementation Method 1
the controller includes an inertial measurement unit (IMU) sensor, wherein the IMU sensor includes one or more of: an accelerometer, a gyroscope, or a magnetometer
Implementation Method 2
The gaming console may include an RFID reader, and/or one or more RFID tags may be included with one or more controllers
Data Source
AI summary
Embodiments of the systems and methods disclosed herein provide a gaming console and gaming controllers, including hardware and software features included on the hardware. For example, a game balancing system is described that can monitor and track performance data from one or more players of the gaming console. With the performance data, artificial intelligence and machine learning can be used to create one or more models that are applied to determine adjustments to games being played on the gaming console. The adjustments to the games can be implemented specifically to each game, player, or set of players to achieve more balanced gameplay as measured by game outcomes and other factors.