VR Sensor Data Correction via Dynamic Ellipsoid Fitting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current VR technologies face inaccuracies in data correction, particularly due to environmental influences, which affect the accuracy of VR pose determination using sensors like gravitational acceleration and geomagnetic field sensors.
Innovation Solution
A method for real-time data correction in VR devices using surface fitting and ellipsoid equations, where data sensed by sensors is evaluated to update fitting parameters, allowing for continuous correction and improved accuracy of VR pose determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If factory calibration is performed on gravitational acceleration data and geomagnetic data, then measurement precision of sensor data is improved, but the system cannot adapt to environmental changes during operation
Solution Approach 1:
The patent implements dynamic calibration by continuously updating the ellipsoid fitting parameters during device operation based on real-time sensor data. Instead of static factory calibration, the system adapts to environmental changes by recalculating correction parameters online, resolving the contradiction between initial precision and ongoing adaptability.
Solution Approach 2:
The system uses feedback from real-time sensor data to continuously evaluate and update the ellipsoid fitting parameters. By monitoring sensor readings and adjusting calibration parameters based on observed deviations, the system maintains measurement precision while adapting to environmental changes throughout operation.
2Measurement precision
If real-time data correction using surface fitting is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts the essential correction information by fitting an ellipsoid surface to the sensor data distribution. This mathematical abstraction captures the calibration parameters in a compact form, reducing processing complexity while maintaining high measurement precision through efficient ellipsoid equation evaluation.
Solution Approach 2:
The system transforms raw sensor data into corrected coordinates by changing the parameter representation through ellipsoid fitting. By converting the problem from direct coordinate correction to parameter-based surface fitting, the system achieves precise real-time correction with reduced computational complexity.
3Reliability
If continuous evaluation and updating of fitting parameters is performed, then reliability of VR pose determination is improved, but use of energy increases
Solution Approach 1:
The patent implements periodic updating of ellipsoid fitting parameters during device operation rather than continuous updates. This periodic approach maintains reliability by regularly refreshing calibration data while reducing energy consumption by processing only at necessary intervals during VR device usage.
Data Source
AI summary
A method for correcting data sensed by a sensor includes: acquiring the data sensed by the sensor; establishing a surface equation based on an acquired data to performing surface fitting; and correcting the data sensed by the sensor with the surface equation. The method further includes: evaluating the acquired data sensed by the sensor to update fitting parameters of the surface equation so as to obtain an updated surface equation; and correcting the data sensed by the sensor with the updated surface equation. Parameter data sensed by the sensor can be corrected in real time, which reduces the influence of environmental factors on the parameter data sensed by the sensor and improves the accuracy of the data sensed by the sensor.