3D AR Overlay Selection Using Motion-Based Ray Attraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing selection interfaces in computer software rely on hard selection protocols such as tapping, clicking, and gestures, which can be inefficient and cumbersome, especially when dealing with multiple layers of objects with varying attributes.
Innovation Solution
A motion-based selection system that uses motion sensors to discriminate and attract target objects by direction, speed, and acceleration, allowing selection and activation through motion-controlled interfaces that simulate gravitational or attractive forces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If hard selection protocols (tapping, clicking, gestures) are used for object selection, then selection accuracy is achieved, but operation efficiency deteriorates and user interaction becomes cumbersome
Solution Approach 1:
The patent replaces mechanical interaction protocols (tapping, clicking, gesturing) with a motion-based selection system that uses motion sensors to detect and interpret user movement. The system substitutes complex mechanical sequences with simple motion detection, where the user's natural movement through space directly correlates to selection of objects in the environment, eliminating the need for repeated tapping or complex gesture sequences.
Solution Approach 2:
The patent introduces motion sensors as an intermediary between the user and the objects to be selected. Rather than direct contact or complex gestures, the user's motion is captured by sensors and translated into selection commands. This intermediary layer converts physical movement into digital selection signals, streamlining the interaction process and reducing the steps required for object selection.
2Measurement precision
If multiple layers of objects with varying attributes are displayed, then object discrimination capability is improved, but selection complexity increases
Solution Approach 1:
The patent applies local quality by allowing different objects or object layers to have distinct motion response characteristics. Each object can be configured with specific attributes that determine how it responds to user motion, such as attraction strength, selection threshold, or motion sensitivity. This enables precise discrimination between objects based on their individual properties while maintaining a unified motion-based selection interface.
Solution Approach 2:
The patent introduces dynamic adjustment of object attributes based on user motion. As the user moves through space, object properties such as selection priority, visibility, or attraction force can dynamically change based on the user's position, velocity, and acceleration. This dynamic behavior simplifies the selection interface by automatically highlighting or prioritizing relevant objects based on the user's motion trajectory, reducing the cognitive load of navigating complex multi-layered object structures.
Data Source
AI summary
Systems, apparatuses, interfaces, and methods for implementing the systems, apparatuses, and interfaces include capturing an image, displaying the image on a display devise, scanning and identifying objects and/or attributes associated with the image and/or objects therein, generating a 3D AR environment within the display overlaid on the image, generating a ray pointer for improved interaction with the image and the generated 3D AR environment, where the environment includes virtual constructs corresponding to the image objects and/or attributes, and selecting, activating, animating, and/or manipulating the virtual constructs within the 3D AR environment.