Capacitive Sensor Baseline Adjustment for Hallucinated Object Detection
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Solution Overview
Problem
Proximity sensor devices often inaccurately detect objects due to incorrect baseline values, leading to 'hallucinated' objects that impair device usability by generating unwanted input or misinterpreting real user input.
Innovation Solution
The implementation of a processing system in input devices that operates in two modes: one mode adjusts baseline values by a first amount when an object is detected to reduce measurement values over time, and the other mode maintains baseline values when an object is present to prevent interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If baseline values are not adjusted when objects are detected, then real user input is accurately maintained, but hallucinated objects persist and impair device usability
Solution Approach 1:
The system dynamically switches between two operational modes: in the first mode, baseline values are adjusted when objects are detected to eliminate hallucinations; in the second mode, baseline values are maintained to preserve accurate detection of real objects. This dynamic adaptation allows the system to resolve the contradiction between eliminating false detections and maintaining accurate detection.
Solution Approach 2:
The system changes the parameter of baseline value adjustment based on detection context. When hallucinated objects are identified, the baseline values are modified to reduce their effects. When real objects are detected, the baseline values are maintained to ensure accurate measurement. This parameter change resolves the contradiction by adapting the measurement approach to the current state.
2Object-generated harmful factors
If baseline values are selectively changed to reduce hallucinated objects, then measurement values corresponding to input objects are reduced over time, but real object detection may be interfered with
Solution Approach 1:
The system uses feedback from object detection results to determine whether to adjust baseline values. When objects are detected, the system monitors the situation and selectively adjusts baselines only when necessary to eliminate hallucinations, while maintaining baselines when real objects are present. This feedback mechanism prevents interference with real object detection while reducing harmful effects of hallucinated objects.
Solution Approach 2:
The system dynamically adapts its baseline adjustment behavior based on real-time detection status. The processing system switches between modes depending on whether detected objects are real or hallucinated, allowing it to reduce harmful effects without compromising accurate detection of real objects.
3Reliability
If the processing system operates in first mode to reduce hallucinated objects, then measurement values are reduced over time, but device complexity increases due to mode switching logic
Solution Approach 1:
The system applies different processing qualities to different situations: in the first mode, baseline adjustment is applied locally to eliminate hallucinations; in the second mode, baseline maintenance is applied to preserve accurate detection. This localized application of processing strategies reduces the need for complex continuous adjustment mechanisms while maintaining high reliability.
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
This approach effectively reduces the effects of both real and hallucinated objects, enhancing the reliability and performance of input devices by gradually eliminating detected objects and minimizing interference.
Implementation Method 1
A proximity sensor device 100 may include a plurality of capacitive sensor electrodes 200 configured to sense changes in capacitance in response to the presence of one or more input objects 140 in a sensing region 120
Data Source
AI summary
The embodiments described herein provide devices and methods that facilitate improved performance. In one embodiment, an input device comprises a plurality of capacitive sensor electrodes and a processing system coupled to the electrodes and configured to operate the electrodes to sense in a sensing region. Specifically, the processing system is configured to determine information about input objects in the sensing region based on comparisons of preliminary values with corresponding baseline values. The processing system is further configured to selectively operate in a first mode and a second mode. While operating in the first mode, the processing system selectively changes a baseline value of the plurality of baseline values by a first amount in response to that baseline value being below a corresponding preliminary value. This selective changing of baseline values occurs even when the processing system determines that an input object is in the sensing region.