Contactless Gesture Recognition for Gaming Input Hygiene
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Solution Overview
Problem
Conventional input devices for electronic gaming systems are limited in providing immersive and ergonomic interactions, often leading to user disengagement, physical discomfort, and the spread of germs in shared gaming environments.
Innovation Solution
A contactless gesture input interface that uses sensors to detect anatomical features and analyze movements in 3D space, allowing players to interact with game components in a natural and hygienic manner, using techniques like edge detection and motion analysis to recognize gestures and trigger actions in games.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If contactless gesture input interface is implemented, then hygiene is improved and physical discomfort is reduced, but device complexity increases
Solution Approach 1:
The patent replaces physical contact-based input devices (buttons, touchscreens) with a contactless gesture recognition system using sensors and image processing. This substitution eliminates germ transmission through contact while maintaining input functionality through gesture detection and analysis.
Solution Approach 2:
The patent introduces an intermediary gesture recognition system that mediates between the player and the game components. Instead of direct contact with physical components, players interact through gestures captured by sensors, which then translate into game actions through image processing and pattern recognition algorithms.
2Device complexity
If conventional input devices are used, then device complexity is low, but user engagement decreases and physical discomfort increases
Solution Approach 1:
The patent implements dynamic gesture recognition that adapts to various player movements and gestures. The system continuously processes image data and adjusts recognition parameters to identify different gesture types, providing a more engaging and natural interaction experience compared to static conventional input devices.
Solution Approach 2:
The patent transitions from two-dimensional touchscreen interaction to three-dimensional gesture recognition in space. By capturing and analyzing gestures in 3D space using multiple sensors and cameras, the system adds spatial depth to the interaction, enhancing user engagement through more natural and immersive controls.
3Measurement precision
If gesture recognition processes location data continuously, then recognition accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary processing of location data by continuously tracking anatomical features and pre-processing gesture sequences. This preliminary action prepares the data in advance, allowing for faster and more accurate gesture recognition when the actual gesture occurs, reducing the processing time required at the moment of recognition.
Solution Approach 2:
The patent implements continuous gesture recognition by processing location data streams without interruption. The system continuously analyzes gesture sequences and maintains constant monitoring of player movements, enabling real-time gesture identification while improving recognition accuracy through continuous data accumulation and pattern recognition.
Data Source
AI summary
A method for controlling a wagering gaming apparatus includes displaying a game on a display screen, receiving, from a sensor device, a plurality of location data points corresponding to a plurality of locations of an anatomical feature of the player in three-dimensional space as the anatomical feature of the player moves in the three-dimensional space, analyzing a first group of the location data points to identify a first input command, the first group of location data points comprising sequential location data points, causing a first action to be taken in the game, the first action being determined based on the first input command, and analyzing a second group of the location data points to identify a second input command, the second group of location data points comprising sequential location data points. The first group of location data points and the second group of location data points at least partially overlap.