Display Screen Calibration for Precise Touchless Gesture Control
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Solution Overview
Problem
Existing electronic display screens lack an easy and precise method for retrofitting touchless gesture control, as existing solutions either require cumbersome sensor calibration or provide limited hand recognition precision.
Innovation Solution
A calibration method using a calibration device with a machine-readable pattern, detected by a depth camera, to determine the screen's borders and define a touchless gesture control input area, facilitated by a simple setup process involving a calibration guiding mark and orientation references.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a calibration device with machine-readable pattern and depth camera detection is used, then calibration precision and efficiency are improved, but device complexity increases
Solution Approach 1:
A calibration device serving as an intermediary object is introduced between the depth camera and the display screen. This calibration device contains machine-readable patterns that mediate the calibration process, enabling the system to automatically determine screen borders and define gesture control areas without requiring complex manual calibration procedures.
Solution Approach 2:
The calibration device uses machine-readable patterns (such as QR codes or AprilTags) that can be easily detected and copied by the depth camera. These patterns serve as digital replicas that encode spatial information, allowing the system to accurately determine screen geometry and orientation through pattern recognition rather than complex sensor calibration.
2Adaptability or versatility
If existing touchless gesture control solutions are implemented, then touchless interaction capability is improved, but hand recognition precision deteriorates
Solution Approach 1:
The system performs preliminary calibration actions before gesture recognition begins. By using the calibration device to pre-establish the screen border coordinates and gesture control area in the depth camera's coordinate system, the system creates an accurate reference framework that enhances subsequent hand recognition precision without requiring complex real-time adjustments.
3Measurement precision
If complex sensor calibration procedures are used, then calibration accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The calibration device enables the system to perform self-calibration automatically. The machine-readable patterns on the calibration device allow the depth camera to automatically detect screen borders and define gesture areas without requiring manual intervention or complex calibration procedures, making the process simple and user-friendly.
Solution Approach 2:
The calibration process transforms physical spatial parameters into detectable digital patterns. By encoding screen geometry information into machine-readable patterns that can be detected by the depth camera, the system changes the calibration from a complex physical alignment task to a simple pattern recognition task, significantly improving ease of operation.
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
Enables precise and efficient calibration of existing display screens for touchless gesture control, allowing easy integration of gesture recognition without complex sensor setups, enhancing user experience and reducing calibration errors.
Implementation Method 1
detecting, at least one depth camera may be used
Data Source
AI summary
A computer-implemented method of calibrating an electronic display screen for touchless gesture control using a calibration device having a calibration pattern, wherein the method comprises: detecting, using at least one depth camera, the calibration pattern of the calibration device, the calibration device being placed on the electronic display screen in a calibration position; determining borders of the electronic display screen based at least on the detected calibration pattern, a reference pattern being usable for determining an orientation of the detected calibration pattern, and a screen dimension information with respect to the electronic display screen, defining a touchless gesture control input area for the electronic display screen being observable by the at least one depth camera.