Object Tracking Optimization Service for Position Data Smoothing
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Solution Overview
Problem
Existing electronic devices face inaccuracies in determining the relative position and orientation of users with respect to the device, leading to degraded virtual content and user experience due to inconsistent and often inaccurate position data, especially with slight changes in device position.
Innovation Solution
An object tracking optimization service that processes and smooths position information from various sources, including cameras and motion sensors, to provide accurate and stable data for rendering content, allowing for enhanced realism and responsiveness in 2D or 3D displays by adjusting content based on viewer movement and orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If position data is acquired at high rate to improve responsiveness, then content can be adjusted more responsively to viewer movement, but data accuracy and stability deteriorate due to noise and inconsistencies
Solution Approach 1:
The system performs preliminary smoothing and filtering of position data before it is used for content adjustment. By pre-processing the position data to remove noise and inconsistencies, the system ensures that subsequent content adjustments are based on accurate and stable position information, thereby maintaining both responsiveness and accuracy.
Solution Approach 2:
The patent introduces an intermediary processing layer that mediates between the raw position data acquisition and the content adjustment. This intermediary layer applies smoothing algorithms and filters to reconcile the high-rate data acquisition with the need for accurate, stable position information, effectively decoupling the responsiveness from the data quality issues.
2Measurement precision
If multiple data sources are integrated to improve position accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system employs a universal data processing framework that can handle multiple data sources (cameras, motion sensors, other tracking systems) through a common smoothing and filtering mechanism. This multi-functional approach allows the system to integrate diverse data sources without proportionally increasing complexity, as the same processing pipeline is applied regardless of the data source.
Solution Approach 2:
The patent adjusts processing parameters such as smoothing window size, filter coefficients, and weighting factors to optimize the integration of multiple data sources. By dynamically changing these parameters based on the specific combination of data sources and current operational conditions, the system achieves high position accuracy while managing complexity through parameter optimization rather than structural complexity.
3Stability of the object's composition
If position data is smoothed to improve stability, then data consistency improves, but responsiveness to actual movement deteriorates
Solution Approach 1:
The system dynamically adjusts the smoothing parameters based on the detected motion characteristics. When rapid movement is detected, the smoothing intensity is reduced to maintain responsiveness. When movement is slow or stationary, smoothing is increased to enhance stability. This dynamic adaptation allows the system to optimize the trade-off between stability and responsiveness in real-time.
Solution Approach 2:
The patent implements feedback mechanisms that monitor both the position data and the resulting content adjustment performance. Based on this feedback, the system continuously refines the smoothing parameters to achieve the optimal balance between stability and responsiveness. The feedback loop ensures that the smoothing does not过度 suppress actual movement while still filtering out noise.
Data Source
AI summary
A service such as an object tracking optimization service of a computing device is configured to optimize the use of object tracking information by, e.g., smoothing, averaging, or otherwise processing the information. Approaches enable the object tracking optimization service to acquire object tracking information (e.g., position information) at a variable input rate and provide the information to applications, services, and the like which require such information at variable rates. The information can be used to display image content (e.g., still or video content) in such a way that the image content will appear, to a viewer, to include portions with different locations in physical space, with the relative positioning of those portions being determined at least in part upon a current relative position and/or orientation of the viewer with respect to the device, as well as changes in that relative position and/or orientation.