Wearable Device Accidental Touch Prevention via Capacitance Distribution
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Solution Overview
Problem
Existing wearable devices struggle to accurately recognize accidental touches on touch control structures due to the limited range of user state analysis, leading to incorrect identification of intentional user inputs.
Innovation Solution
A method for accidental touch prevention in wearable devices, which utilizes a capacitive touch sensor to collect capacitance values from multiple touch channels with varying distances from the touch control structure. The method determines whether the capacitance values conform to a preset distribution state, indicating non-accidental touch, and if not, it determines the touch as accidental and refrains from responding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user state analysis is used to determine accidental touch, then the system can identify some accidental touch scenarios, but the recognition accuracy remains insufficient due to limited scenario coverage
Solution Approach 1:
The patent segments the touch detection function into multiple independent touch channels (first touch channel and second touch channel) positioned at different locations on the housing. Each channel independently detects capacitance changes, and the system compares the capacitance values from both channels to distinguish accidental touches from intentional operations. This segmentation allows the system to cover more diverse scenarios by analyzing spatial distribution of capacitance changes across multiple sensing points.
2Measurement precision
If multiple touch channels at different distances from the touch control structure are used, then the accuracy of accidental touch recognition is improved, but the device complexity increases
Solution Approach 1:
The patent makes the existing capacitive touch sensor perform multiple functions: it not only detects direct touches on the touch control structure but also serves as an accidental touch detection system by utilizing additional touch channels. The same sensor hardware is used to both trigger operations and prevent accidental triggers, eliminating the need for separate sensing systems and reducing overall device complexity despite the enhanced functionality.
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
The solution effectively improves the accuracy of accidental touch recognition across various scenarios, reducing false triggers and enhancing the reliability of user interactions with wearable devices.
Implementation Method 1
a capacitive touch sensor configured to collect capacitance values of at least two touch channels whose distances from the touch control structure are not equal to one another
Data Source
AI summary
Disclosed is an accidental touch prevention method applied to a wearable device including a touch control structure and a capacitive touch sensor configured to collect capacitance values of at least two touch channels. The distances between the touch channels and the touch control structure are not equal. The method includes: when an event of triggering a touch control structure is detected, obtaining a capacitance value of each touch channel collected by the capacitive touch sensor; determining whether the capacitance values of all of the touch channels meet a preset capacitance value distribution state which is the distribution state of the capacitance values of all of the touch channels when the touch control structure is triggered under the conditions of a non-accidental touch; and if not, determining that the touch control structure has been touched accidentally, and not responding to the event of triggering the touch control structure.