Display Identification via Refresh Rate Detection for Gesture Accuracy
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Solution Overview
Problem
Existing systems for interpreting user gestures can misinterpret gestures, leading to unintended actions, as they struggle to accurately determine the position and intent of user interactions with a computer screen.
Innovation Solution
The technology involves monitoring a space using a camera to acquire image frames, detecting light sources, and measuring the frequency of periodic intensity variations (refresh rate) to identify and locate a computer display, thereby improving the accuracy of interpreting user gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system uses gesture recognition to interpret user input, then user interaction capability is improved, but gesture misinterpretation occurs leading to unintended actions
Solution Approach 1:
The patent introduces a camera as an intermediary device to capture visual information about the display's position and the user's gestures. This intermediary provides additional data that mediates between the user's physical gesture and the system's interpretation, enabling more accurate mapping of intended actions by observing the actual display location and user posture in relation to it.
2Measurement precision
If the system captures a series of image frames to monitor the space, then the ability to detect display position is improved, but the complexity of image processing increases
Solution Approach 1:
The patent extracts only the essential information needed for display identification from the image frames - specifically, detecting light sources and measuring their periodic intensity variations. Rather than processing entire images or performing complex computer vision tasks, the system extracts only the relevant optical signals that indicate display refresh rates, significantly reducing processing complexity while maintaining detection precision.
Solution Approach 2:
The system performs preliminary detection of light sources in the image frames before conducting detailed analysis. By first identifying potential display locations through light source detection and then focusing analysis only on those specific regions, the system reduces the overall computational burden while maintaining accurate display position detection.
3Measurement precision
If the system measures the refresh rate of light sources to identify the display, then display identification accuracy is improved, but the time required for identification increases
Solution Approach 1:
The patent leverages the periodic nature of display refresh rates to accelerate identification. By detecting the periodic intensity variations of light sources and measuring their frequency, the system can rapidly identify displays through their characteristic refresh rates (e.g., 60Hz, 144Hz). This periodic action approach allows the system to quickly distinguish displays from other light sources without requiring extensive analysis, reducing identification time while maintaining high accuracy.
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
This approach enhances the accuracy of interpreting user gestures by precisely identifying and tracking the position of a computer display relative to the user, reducing misinterpretation and improving interaction reliability.
Implementation Method 1
acquiring a series of image frames from the camera, detecting the presence of a light source in the series of images
Implementation Method 2
measuring one or more frequencies of periodic intensity or brightness variations, also referred to as 'refresh rate', of light emitted from the light sources
Data Source
AI summary
The technology disclosed relates to identifying an object in a field of view of a camera. In particular, it relates to identifying a display in the field of view of the camera. This is achieved by monitoring a space including acquiring a series of image frames of the space using the camera and detecting one or more light sources in the series of image frames. Further, one or more frequencies of periodic intensity or brightness variations, also referred to as ‘refresh rate’, of light emitted from the light sources is measured. Based on the one or more frequencies of periodic intensity variations of light emitted from the light sources, at least one display that includes the light sources is identified.


