Vehicle Proximity Switch Sensitivity Learning for Accurate Actuation
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Solution Overview
Problem
Proximity switches in automotive vehicles face challenges in detecting user actuation due to variations in finger size, nail length, and dielectric properties, as well as the use of gloves, leading to inconsistent actuation detection levels.
Innovation Solution
A proximity switch with learned sensitivity control, featuring sensitivity control circuitry that adjusts the sensitivity of the switch based on user-specific data learned from a sensitivity sensor, allowing for personalized sensitivity settings to accommodate individual user variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed threshold is used for detecting user actuation, then the switch operation is simple and reliable, but the detection accuracy varies with different users due to finger size, nail length, and dielectric property variations
Solution Approach 1:
The system performs preliminary learning of user-specific actuation characteristics before normal operation. The sensitivity control circuitry stores reference values representing individual user patterns, and uses these pre-acquired data to automatically adjust detection thresholds, eliminating the need for real-time complex analysis during actual switch operation
Solution Approach 2:
The detection threshold parameter is dynamically adjusted based on learned user characteristics. The system changes the threshold parameter from a fixed value to a variable value that adapts to each user's finger size, nail length, and dielectric properties, thereby improving detection accuracy without requiring complex real-time processing
2Adaptability or versatility
If the switch sensitivity is increased to detect all user variations, then detection coverage is improved, but false actuation detection increases
Solution Approach 1:
The system applies different sensitivity levels to different users based on their individual characteristics. Instead of using a uniform high sensitivity for all users, the sensitivity control circuitry tailors the detection parameters to each specific user's actuation pattern, allowing high adaptability for each user while maintaining overall system reliability through personalized thresholds
3Measurement precision
If manual sensitivity adjustment is provided for each user, then detection accuracy is improved, but the ease of operation is reduced due to additional setup steps
Solution Approach 1:
The system performs self-adjustment of detection parameters by automatically learning user characteristics during initial use. The sensitivity control circuitry autonomously acquires and stores reference values representing each user's actuation patterns, eliminating the need for manual sensitivity adjustment while maintaining high detection 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
Enhances the accuracy and reliability of user actuation detection by adapting to individual user characteristics, improving the functionality of vehicle controls such as sunroofs, lighting, and infotainment systems.
Implementation Method 1
proximity switches, such as capacitive switches, employ one or more proximity sensors to generate a sense activation field and sense changes to the activation field indicative of user actuation of the switch
Implementation Method 2
may wear gloves exhibiting different dielectric properties, all of which may affect the results of the comparison of the actuation field to the threshold value
Data Source
AI summary
A vehicle proximity switch and method are provided having learned sensitivity control. The switch includes a proximity sensor, such as a capacitive sensor, installed in a vehicle and providing a sense activation field. Also included is sense control circuitry processing the activation field to sense user activation of the switch by comparing the activation field to a threshold. The switch further includes sensitivity control circuitry learning a user sensitivity based on user activation of a sensor and controlling the sensitivity of one or more proximity switches.