Gesture Control Device Multi-Camera Angle Calculation
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Solution Overview
Problem
Existing gesture control systems for multiple electronic devices struggle to accurately determine which device should be activated by a gesture command, leading to potential activation of unintended devices.
Innovation Solution
A gesture control device with multiple cameras and a processor that uses depth information and coordinate calculations to determine the intended device based on gesture angles and positions, employing modules for obtaining, creating, and calculating gesture data to differentiate between connected electronic devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If gesture control is used to control multiple electronic devices, then the convenience of control is improved, but the accuracy of device identification deteriorates
Solution Approach 1:
The patent introduces spatial dimension information by using multiple cameras to capture depth data and calculate three-dimensional gesture coordinates. This transforms the gesture recognition from two-dimensional image analysis to three-dimensional spatial analysis, enabling accurate identification of which device the gesture targets based on spatial position and angle calculations.
Solution Approach 2:
The patent replaces traditional mechanical or contact-based control with gesture-based control using computer vision and image processing algorithms. The system uses camera arrays to capture gestures and employs coordinate transformation and angle calculation algorithms to identify the target device, substituting physical interaction with optical-field-based recognition.
2Measurement precision
If multiple cameras are used to capture gesture images, then the precision of gesture recognition is improved, but the device complexity increases
Solution Approach 1:
The patent divides the gesture recognition task into multiple processing stages: image acquisition by individual cameras, coordinate system creation for each camera, gesture detection in each view, angle calculation between gesture and device directions, and final device identification. This segmentation allows complex multi-camera processing to be broken down into manageable modular steps.
Solution Approach 2:
The patent introduces coordinate systems as an intermediary representation between the raw camera images and the final device identification. Each camera creates a coordinate system that serves as a common reference frame, allowing gestures captured from different camera angles to be accurately compared and integrated for device identification.
Data Source
AI summary
A gesture control method is provided. The method includes: obtaining gesture images with depth information; creating a coordinate system; determining coordinates of a center of each camera, a start position and an end position of the gesture; calculating directions and values of a first angle defined from an axle through the end position to a line connecting between the start position and the end position and at least two second angles each defined a vertical axle through a center of a camera to a line connecting the center of the camera and the start position, each second angle corresponding to a camera of an electronic device; and determining an electronic device to be a controlled device, wherein the electronic device corresponds to a second angle in a same direction with the first angle having a minimum absolute difference with the first angle.