Motion Tracking Map Boundary Control for Lower Processing Delay
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Solution Overview
Problem
Existing motion capturing systems face challenges in accurately tracking human motion due to the complexity of independent limb movements and high computational load from processing numerous feature points, leading to potential inaccuracies and delays.
Innovation Solution
A motion tracking device incorporating a camera, inertial measurement unit, and processor that uses simultaneous localization and mapping (SLAM) to establish map boundaries, capture maps in defined areas, and adjust posture through height detection to optimize coverage and reduce computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system processes numerous feature points to achieve accurate motion tracking, then measurement precision is improved, but computational load increases causing processing delays
Solution Approach 1:
The patent divides the processing of feature points into segments by using key frame selection. Instead of processing all feature points continuously, the system selectively processes feature points from key frames only, segmenting the computational workload to reduce overall processing time while maintaining tracking accuracy.
Solution Approach 2:
The system performs partial action by selecting only essential key frames for processing rather than all frames. This partial processing approach reduces computational load significantly while still capturing the necessary motion information for accurate tracking.
2Measurement precision
If the system captures comprehensive map coverage to improve tracking accuracy, then measurement precision is improved, but the area to be processed increases leading to higher computational load
Solution Approach 1:
The patent segments the map coverage area into multiple regions using boundary information. By dividing the large coverage area into smaller segments, the system can process each region independently and selectively, reducing the computational burden while maintaining overall tracking accuracy.
Solution Approach 2:
The system extracts and uses only the necessary boundary information from the map coverage area, rather than processing the entire area. This extraction of essential boundary data reduces the processing area while preserving the accuracy needed for motion tracking.
3Measurement precision
If the system processes all key frames to ensure complete motion capture, then measurement precision is improved, but the quantity of data processed increases causing delays
Solution Approach 1:
The patent extracts and processes only the necessary key frames required for accurate motion tracking, rather than processing all available key frames. This selective extraction reduces the quantity of data processed while maintaining measurement precision.
Solution Approach 2:
The system performs partial processing by selecting a subset of key frames that are sufficient for accurate motion capture. This partial action approach processes fewer key frames than the total available, reducing computational load while maintaining accuracy.
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
The solution enables efficient and accurate motion tracking by restricting map coverage with defined boundaries, reducing the number of key frames processed, and preventing delays by adjusting user posture through alarms, thereby enhancing tracking performance.
Implementation Method 1
detect a first height via the inertial measurement unit to determine a first boundary
Data Source
AI summary
A method of motion tracking and a motion tracking device are provided. The method includes: obtaining a first command; in response to the first command, detecting a first height via an inertial measurement unit to determine a first boundary; capturing a first map via a camera to establish a first coverage of the first map and determining whether the first coverage is complete according to the first boundary; and in response to the first coverage being complete, performing motion tracking according to the first map.