Wireless Earphone Occlusion Control Using Grayscale Detection
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Solution Overview
Problem
Existing wireless earphone control methods, such as touch and press controls, require high operational accuracy from users, leading to inconvenience due to insensitive control.
Innovation Solution
A method that utilizes image collection devices to detect grayscale value distribution in control images, allowing users to control wireless earphones by blocking the image collection device without touching or pressing the earphones, based on occlusion detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If touch control or press control methods are used, then control functions can be implemented, but operational complexity increases and user convenience decreases due to high precision requirements
Solution Approach 1:
The patent replaces mechanical touch and press control systems with an optical detection system. The image collection device captures images of the user's hand, and grayscale value analysis detects hand gestures and positions, substituting direct mechanical interaction with optical field-based detection.
Solution Approach 2:
The patent introduces an intermediary optical detection system between the user and the control function. Instead of direct hand-to-device contact, the image collection device and grayscale analysis serve as intermediaries to translate hand gestures into control commands.
2Measurement precision
If touch and press controls require precise user operation, then control accuracy can be achieved, but user convenience deteriorates due to insensitive control
Solution Approach 1:
The patent replaces precision-dependent mechanical touch control with optical image-based gesture recognition. The grayscale value distribution analysis of captured images enables detection of hand gestures and positions with greater tolerance for user imprecision.
Solution Approach 2:
The patent changes the detection parameter from direct contact force (touch/press) to optical reflectance characteristics (grayscale values). This parameter transformation allows for more intuitive and less precision-critical user interactions.
Data Source
AI summary
A wireless earphone control method is disclosed, which includes, but is not limited to: acquiring a control image; detecting grayscale value distribution in the control image to obtain a detection result of occlusion; and performing a corresponding wireless earphone control operation based on the detection result of occlusion. The step of detecting grayscale value distribution in the control image to obtain the detection result of occlusion includes, but is not limited to: calculating first mean grayscale values of multiple preset sample regions in the control image; determining an occlusion position in the control image based on size relationships among the first mean grayscale values; and determining the detection result of occlusion based on the occlusion position.