Depth Sensing Gesture Recognition for Gaming Input Accuracy
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Solution Overview
Problem
Electronic gaming systems face challenges in providing an intuitive interface for new players and ensuring accurate input recognition to avoid misinterpretation, which can affect financial outcomes and player enjoyment.
Innovation Solution
The system employs depth image sensing technology to recognize human gesturing inputs, allowing players to interact with games using natural movements, and uses a combination of sensors and game logic controllers to interpret these gestures for input validation and game control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional input devices (buttons, keyboards) are used, then input accuracy is maintained, but ease of operation deteriorates for new players
Solution Approach 1:
The patent replaces traditional mechanical input devices (buttons, keyboards) with a depth imaging system that captures and analyzes human gestures. The depth camera records three-dimensional hand movements, and software algorithms interpret these gestures to trigger game actions, eliminating the need for physical contact with input devices while maintaining input recognition accuracy through sophisticated gesture validation.
Solution Approach 2:
The patent introduces an intermediary gesture recognition system between the player and the game system. Instead of direct button presses, players perform natural hand gestures that are captured by the depth camera and translated into game inputs through software interpretation, serving as a mediator that converts natural human movement into structured game commands.
2Ease of operation
If gesture recognition is implemented, then ease of operation improves, but measurement precision deteriorates due to potential misinterpretation
Solution Approach 1:
The patent implements preliminary action by requiring players to perform complete, deliberate gestures that must meet specific criteria before being registered as valid inputs. The system pre-establishes gesture boundaries, required movement amplitudes, and confirmation protocols to ensure that only intentional, clearly defined gestures are recognized, preventing misinterpretation of accidental movements.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system monitors gesture progression in real-time and provides visual or auditory confirmation when a gesture is successfully recognized. This feedback loop allows players to verify that their gestures were correctly interpreted, and the system adjusts recognition thresholds based on accumulated data to improve precision over time.
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
This approach enhances player engagement by simplifying game interaction and reduces misinterpretation errors, providing a more enjoyable and secure gaming experience.
Implementation Method 1
the gaming system employs depth image sensing technology to recognize human gesturing inputs
Data Source
AI summary
Examples disclosed herein relate to systems and methods, which may receive wagers on one or more paylines. The disclosure relates to an electronic gaming system which allows a player to make one or more inputs via human gesturing, and associated methods.