Non-Contact Screen Input Detection Using 3D Regions
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Solution Overview
Problem
Existing non-contact user interface systems struggle with maintaining accurate detection of user inputs when the detection region is confined within the display region, leading to potential misinterpretation or failure in recognizing user operations.
Innovation Solution
The system expands the detection region beyond the display region when a target object is detected within it, allowing for more precise and reliable non-contact user interactions by utilizing a three-dimensional coordinate system to track the user's finger position and distance, enhancing the detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the detection region is confined within the display region, then the device structure remains simple and manageable, but the detection accuracy and reliability of non-contact user inputs deteriorate when the user's finger is positioned slightly away from the display surface
Solution Approach 1:
The patent extends the detection region from a two-dimensional plane within the display region to a three-dimensional space that protrudes toward the user. This dimensional expansion allows the detection region to capture finger positions at various distances from the display surface, thereby maintaining detection reliability without complicating the device structure.
Solution Approach 2:
The detection region is divided into multiple sub-regions based on distance from the display surface. This segmentation allows the system to differentiate between fingers at various distances, improving detection accuracy while keeping the overall detection region organized and manageable within the device architecture.
2Measurement precision
If the detection region is expanded to outside the display region, then the detection accuracy of non-contact user inputs improves, but the device complexity increases
Solution Approach 1:
The patent expands the detection region into the third dimension (depth/distance from display surface) rather than merely expanding it laterally. This dimensional approach improves measurement precision by capturing finger positions at different distances while avoiding the complexity of managing a vastly larger two-dimensional region.
Solution Approach 2:
The detection region is configured with varying properties at different distances from the display surface. Regions closer to the display have different detection characteristics than regions farther away, allowing optimized detection precision for each local zone without uniformly increasing overall device complexity.
3Measurement precision
If the detection region remains within the display region boundaries, then the system remains simple to implement, but the accuracy of detecting user inputs positioned slightly away from the display surface deteriorates
Solution Approach 1:
By extending the detection region into the depth dimension toward the user, the system achieves better detection accuracy for non-contact inputs without requiring complex lateral expansion. This approach maintains relative implementation simplicity while significantly improving the ability to detect fingers positioned away from the display surface.
Solution Approach 2:
The detection region is configured to be dynamic in nature, adapting its effective boundaries based on detected finger positions and distances. This dynamic configuration improves detection accuracy for varying finger positions while avoiding the need for a permanently complex fixed-structure detection system.
Data Source
AI summary
An information processing system includes a processor configured to: in a case where a non-contact operation by a target object is performed on an object within a screen, when the target object is detected in a detection region included in a display region in which the object is displayed within the screen, expand the detection region to outside the display region.