Gesture Recognition Using Brightness Threshold Pixel Grouping
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Solution Overview
Problem
Existing optical gesture determining devices require complex operations such as object detection, edge detection, and concave/convex polygons calculation, resulting in low gesture determination speed.
Innovation Solution
A device and method that uses a light emitting unit and image sensing device to capture hand images, select pixels above a brightness threshold, sort and divide them into groups to determine gestures, eliminating the need for complex operations like object detection and polygon calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex operations such as object detection, edge detection, and concave/convex polygons calculation are performed on the captured image, then the gesture determination accuracy is improved, but the gesture determination speed deteriorates
Solution Approach 1:
The patent extracts only the essential information needed for gesture determination by selecting pixels above a brightness threshold, rather than performing complete object detection and edge detection. This extraction approach obtains sufficient gesture information while avoiding unnecessary complex calculations, thus improving determination speed without significantly compromising accuracy
Solution Approach 2:
The patent segments the image processing into distinct stages: pixel selection based on brightness threshold, sorting of selected pixels, and grouping into gesture regions. This segmentation allows the system to focus computational resources on the most critical processing steps, improving overall efficiency while maintaining gesture determination accuracy
2Reliability
If complete object detection, edge detection, and polygon calculations are performed, then the gesture recognition completeness is improved, but the processing complexity increases
Solution Approach 1:
The patent applies partial action by performing only the necessary processing steps: selecting pixels above a brightness threshold and grouping them. This partial processing approach achieves sufficient gesture recognition completeness without executing the full sequence of complex operations (object detection, edge detection, polygon calculations), thereby reducing processing complexity
Solution Approach 2:
The processing complexity is reduced by segmenting the gesture determination into simplified stages: brightness-based pixel selection, sorting, and grouping. This segmentation eliminates the need for complex object detection, edge detection, and polygon calculation modules, maintaining reliability while reducing overall system complexity
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 significantly improves gesture determination speed by simplifying the processing steps, allowing for faster and more efficient gesture recognition.
Implementation Method 1
a light emitting unit (112) is configured to emit a light beam
Implementation Method 2
an image sensing device (114) is configured to capture an image of a hand reflecting the light beam
Data Source
AI summary
A device for determining a gesture includes a light emitting unit, an image sensing device and a processing circuit. The light emitting unit emits a light beam. The image sensing device captures an image of a hand reflecting the light beam. The processing circuit obtains the image and determines a gesture of the hand by performing an operation on the image; wherein the operation includes: selecting pixels in the image having a brightness greater than or equal to a brightness threshold; dividing the selected pixels; and determining the gesture of the hand according to a number of group of divided pixels. A method for determining a gesture and an operation method of the aforementioned device are also provided.