Dynamic Self-Capacitive Measurement Acquisition for Interference Detection
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Solution Overview
Problem
Proximity sensor devices face interference from external sources, leading to inaccurate detection of input objects due to persistent or intermittent noise, which existing technologies struggle to effectively manage.
Innovation Solution
Dynamic self-capacitive measurement acquisition involves sensor circuitry performing mutual and self-capacitive sensing to detect inconsistencies, allowing for the differentiation and correction of interference types by halting subsequent sensing frames and obtaining additional self-capacitive measurements to determine intermittent interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If continuous sensing frames are performed to improve detection speed, then productivity is improved, but measurement precision deteriorates due to intermittent interference
Solution Approach 1:
The system performs self-capacitive sensing in advance to establish a baseline measurement before mutual capacitive sensing. This preliminary action allows the system to detect inconsistencies caused by intermittent interference and trigger corrective measures (halting subsequent sensing frames) before inaccurate measurements are produced, thus maintaining both speed and precision
Solution Approach 2:
The system continuously monitors consistency between self-capacitive and mutual capacitive measurements. When an inconsistency is detected, the system provides feedback by halting subsequent sensing frames and triggering additional self-capacitive sensing. This feedback loop enables the system to adapt to intermittent interference dynamically, preserving measurement precision while minimizing impact on detection speed
2Measurement precision
If additional self-capacitive sensing is performed to improve measurement precision, then measurement precision is improved, but loss of time increases
Solution Approach 1:
Instead of continuously performing additional self-capacitive sensing, the system applies partial action by triggering extra sensing only when inconsistencies are detected. This selective approach ensures measurement precision is improved only when necessary, minimizing time loss while maintaining accuracy when interference is present
Solution Approach 2:
The system implements periodic verification by comparing self-capacitive and mutual capacitive measurements at regular intervals. Additional self-capacitive sensing is triggered periodically only when inconsistencies are found, rather than continuously. This periodic approach balances measurement precision with time efficiency by avoiding unnecessary sensing operations
Data Source
AI summary
Sensor circuitry is configured to perform, for a sensing frame, mutual capacitive sensing to obtain mutual capacitive measurements, and perform, for the sensing frame, first self-capacitive sensing to obtain first self-capacitive measurements, and perform second self-capacitive sensing to obtain a second self-capacitive measurements. Processing circuitry is connected to the sensor circuitry and is configured to detect an inconsistency between the mutual capacitive measurements and the first self-capacitive measurements, and halt, in response to detecting the inconsistency, a second sensing frame to trigger performing the second self-capacitive sensing. The second sensing frame is subsequent to the first sensing frame. The processing circuitry is further configured to determine intermittent interference using the first self-capacitive measurements and the second self-capacitive measurements.