Sensor Calibration Interpolation Logic for Smooth Transitions
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Solution Overview
Problem
Sensor calibration changes in cell phones, such as those involving gyroscopes and accelerometers, often cause sudden jumps in data, leading to undesirable user experiences and potential malfunctions in applications that rely on precise motion tracking.
Innovation Solution
Implementing interpolation logic to generate transitional calibration parameter values, smoothly transitioning from the current to the new calibration parameter values over a selected time period, thereby preventing sudden changes in sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor recalibration is performed to improve measurement precision, then sensor accuracy is improved, but sudden changes in sensor data occur causing application malfunctions and poor user experience
Solution Approach 1:
The system performs preliminary actions by calculating the new calibration parameter and determining the transition schedule before actually applying the calibration change. This allows the system to prepare for the transition and manage it in a controlled manner, preventing sudden jumps in sensor data that would cause application malfunctions.
Solution Approach 2:
The system makes the calibration parameter dynamic by transitioning from the old calibration parameter to the new calibration parameter over time according to a transition schedule, rather than making an abrupt static change. This dynamic transition smooths the calibration parameter changes, preventing sudden data jumps while still achieving improved measurement precision.
2Measurement precision
If sensor recalibration is performed to improve measurement precision, then sensor accuracy is improved, but user experience deteriorates due to noticeable sudden changes in sensor data
Solution Approach 1:
The system calculates the transition schedule before applying calibration changes, allowing it to prepare a smooth transition plan that prevents noticeable sudden changes for the user while still achieving improved sensor accuracy.
Solution Approach 2:
By dynamically transitioning the calibration parameter over time rather than making an abrupt change, the system maintains smooth sensor data output that does not cause noticeable jumps or disruptions to the user experience, while still achieving the improved measurement precision from recalibration.
3Measurement precision
If calibration parameter is changed to improve measurement precision, then sensor accuracy is improved, but data continuity is disrupted causing application malfunctions
Solution Approach 1:
The system performs preliminary calculations to determine the transition schedule between calibration parameters, ensuring that the transition is planned and controlled to maintain data continuity while achieving improved sensor accuracy.
Solution Approach 2:
The system dynamically adjusts the calibration parameter over time according to a transition schedule, creating a continuous and smooth transformation from the old to the new calibration parameter. This dynamic approach prevents abrupt changes that would disrupt data continuity and cause application malfunctions, while still achieving the improved measurement precision.
Data Source
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AI summary
The disclosure relates to mitigating the effect of a sudden change in sensor calibration parameters. An embodiment of the disclosure retrieves a current calibration parameter value for the sensor, determines a new calibration parameter value for the sensor, and generates transitional calibration parameter values based at least on the current calibration parameter value and the new calibration parameter value using an interpolation function configured to prevent a sudden change in the sensor calibration parameter values.