Movement-Based Navigation Using Gesture Recognition
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Solution Overview
Problem
The complexity of various game controllers and input combinations in virtual environments creates barriers for players when introducing new or unfamiliar game titles, leading to difficulties in navigation and access within virtual environments.
Innovation Solution
A system where a navigation server maps physical movement data from a user device to custom actions, allowing users to access specific in-game commands by performing predefined gestures, with thresholds for authentication and authorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional game controllers with multiple buttons and complex input combinations are used, then in-game actions can be performed, but the complexity of navigation and access increases, creating barriers for players
Solution Approach 1:
The patent replaces traditional mechanical button-pressing input methods with motion-based control using accelerometers and gyroscopes. Users perform physical gestures in 3D space to control the virtual environment, eliminating the need to learn complex button combinations while maintaining full navigational capability.
Solution Approach 2:
The system dynamically maps physical movement data to navigation commands in real-time. The controller interprets continuous motion data from sensors and translates it into virtual environment navigation actions, allowing natural and intuitive control without predefined input sequences.
2Reliability
If multiple input combinations and button sequences are required for navigation, then precise control is achieved, but the difficulty of detecting and measuring user intent increases
Solution Approach 1:
The system substitutes complex button sequence detection with motion pattern recognition using accelerometers and gyroscopes. The sensors continuously capture 3D motion data, and the system identifies navigation intent by analyzing gesture patterns, making user intent detection more straightforward and reliable.
Solution Approach 2:
The system provides real-time feedback by mapping physical gestures to virtual navigation actions. The accelerometer and gyroscope data are processed to provide immediate response to user movements, confirming correct input recognition and enabling precise control through continuous feedback loops.
Data Source
AI summary
One or more custom actions are stored in memory. Each of the custom actions is associated with a pattern of physical movement and a threshold. Physical movement data captured by a user device of the user is received and mapped to an identified one of the custom actions. When the physical movement data matches the associated pattern of physical movement within the associated threshold, it is determined that the user is authorized to access the identified custom action.