Remote Controller Cursor Positioning Using Reference Beacons
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Solution Overview
Problem
Existing optical pointing systems face challenges in accurately transforming absolute coordinates to relative coordinates due to incorrect scale parameters and initial mapping errors, leading to incorrect cursor movement on displays.
Innovation Solution
An interactive system with a remote controller, image sensor, and dongle that uses reference beacons to calculate aiming coordinates, performs reset and operation calibration, and adjusts displacements using a scale parameter to correctly map cursor positions on a display, even at image boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system uses fixed scale parameters for coordinate transformation, then the transformation process is simple and fast, but the cursor position becomes incorrect when display resolution changes or initial mapping errors occur
Solution Approach 1:
The system performs preliminary calibration by capturing images of reference beacons and calculating initial mapping relationships before normal operation. This preliminary action establishes correct coordinate transformation parameters in advance, resolving the issue of incorrect cursor positions without requiring complex real-time adjustments during normal use.
Solution Approach 2:
The system implements feedback mechanisms where the calculated mapping relationships from reference beacon images are fed back into the coordinate transformation process. This feedback loop continuously refines the scale parameters and mapping accuracy, ensuring correct cursor positioning even when display resolution changes or initial errors occur.
2Measurement precision
If the system performs frequent reset calibration to correct mapping errors, then cursor position accuracy is maintained, but the operation time and system response speed decrease
Solution Approach 1:
The system performs calibration preliminarily by capturing reference beacon images and pre-calculating mapping relationships. This preliminary calibration establishes accurate coordinate transformation parameters before normal operation begins, eliminating the need for frequent reset calibration during use and maintaining both accuracy and response speed.
Solution Approach 2:
The system uses reference beacons that are automatically detected and processed by the image sensor, enabling self-calibration without requiring manual user intervention. The automatic detection and calculation of mapping relationships from reference beacon images reduces calibration time and maintains system responsiveness while ensuring accuracy.
3Ease of operation
If the system uses relative coordinate transformation, then the cursor can track mouse movement smoothly, but incorrect scale parameters cause mapping errors between image coordinates and display coordinates
Solution Approach 1:
The system implements feedback by continuously using reference beacon images to verify and refine the coordinate transformation scale parameters. This feedback mechanism ensures that the relative coordinate transformation maintains both smooth cursor tracking and accurate mapping between image and display coordinates, preventing mapping errors while preserving operational smoothness.
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
Ensures accurate cursor movement by correcting initial mapping errors and scale parameter mismatches, allowing precise control on screens with different resolutions, enhancing user interaction.
Implementation Method 1
The remote controller includes an image sensor for capturing an image containing the reference beacons
Data Source
AI summary
An interactive system includes a display, a processor and a remote controller. The display includes at least one reference beacon for providing light with a predetermined feature. The remote controller includes an image sensor configured to capture an image containing the reference beacon and calculates an aiming coordinate according to an imaging position of the reference beacon in the captured image. The processor calculates a scale ratio of a pixel size of the display with respect to that of the image captured by the image sensor and moves a cursor position according to the scale ratio and the aiming coordinate.