Mixed Reality Pose Estimation Magnetic Interference Correction
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Solution Overview
Problem
Conventional mixed-reality systems face challenges in accurately tracking user interactions due to magnetic interference from objects in the environment, leading to inaccurate pose estimation and immersive experience degradation.
Innovation Solution
The system transmits a magnetic field signal, detects interfering objects using sensors, and adjusts the pose-estimation model to compensate for interference, ensuring accurate pose calculation and enhanced user interaction in mixed-reality environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If magnetic field signals are used for pose estimation in mixed-reality systems, then tracking capability is enabled, but magnetic interference from environmental objects causes inaccurate pose estimation
Solution Approach 1:
The system detects magnetic interference from environmental objects and converts this harmful effect into useful information by using the interference characteristics to identify and exclude corrupted measurements, thereby improving pose estimation accuracy
Solution Approach 2:
The system continuously monitors magnetic field measurements, compares them against expected values, and adjusts pose estimation in real-time based on detected interference, creating a closed-loop feedback mechanism that maintains accuracy despite environmental disturbances
2Measurement precision
If magnetic interference detection and correction mechanisms are added to the system, then pose estimation accuracy improves, but device complexity increases
Solution Approach 1:
The magnetic field sensing device performs multiple functions: it both tracks pose information and detects magnetic interference from environmental objects, eliminating the need for separate detection systems and reducing overall device complexity
Solution Approach 2:
The system uses its own magnetic field measurements to detect and correct interference, making the correction mechanism self-contained and avoiding the need for additional external correction devices or complex calibration systems
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 significantly improves pose estimation accuracy, providing a more immersive and precise user experience by mitigating magnetic interference and adapting to environmental conditions.
Implementation Method 1
cause a magnetic transmission device to transmit a magnetic field signal
Implementation Method 2
cause a magnetic-field sensing device to determine a measurement of the magnetic field signal
Data Source
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AI summary
A mixed-reality system causes a magnetic transmission device to transmit a magnetic field signal. The mixed-reality system also causes a magnetic-field sensing device to determine a measurement of the magnetic field signal. The mixed-reality system then identifies, using one or more input devices, that a magnetically-interfering object is located within a same environment as both the magnetic transmission device and the magnetic-field sensing device. The mixed-reality system also determines one or more characteristics of magnetic field interference that the magnetically-interfering object is imparting on the magnetic transmission device or the magnetic-field sensing device. The mixed-reality system then computes an adjustment to a pose-estimation model based upon the one or more characteristics of magnetic field interference. The pose-estimation model is used to calculate a pose of at least one of the magnetic transmission device or the magnetic-field sensing device.