Mixed Reality Coordinate System Using Inertial Measurement Data
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Solution Overview
Problem
Current mixed reality production methods require high computing power and numerous spatial anchor points for establishing a coordinate system, making it inefficient for instant virtual content import and real-time editing in real spaces.
Innovation Solution
An electronic device equipped with an inertial measurement element and processor that uses an inertial measurement data mapping model to establish a mixed reality environment coordinate system, calculate starting and spatial operation points, and execute 3D scene editing programs without the need for extensive anchor points or labor-intensive calculations, allowing for real-time editing and preview.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional mixed reality production methods use numerous spatial anchor points and real-time image recognition algorithms, then positioning accuracy is improved, but computing power consumption increases and real-time editing capability deteriorates
Solution Approach 1:
The patent extracts and removes the complex real-time image recognition and matching algorithms from the system, replacing them with inertial measurement data processing. This extraction eliminates the computationally intensive components while retaining the essential positioning function through inertial sensors and a single anchor point.
Solution Approach 2:
The patent replaces the optical-mechanical system (cameras, image recognition, feature point matching) with an inertial measurement system. The mechanical/optical process of capturing and analyzing visual data is substituted with inertial sensors that directly measure acceleration, angular velocity, and orientation, significantly reducing computational requirements.
2Measurement precision
If traditional mixed reality production methods use numerous spatial anchor points and real-time image recognition algorithms, then positioning accuracy is improved, but real-time editing capability deteriorates
Solution Approach 1:
The patent removes the computationally intensive real-time image recognition and matching algorithms from the system, replacing them with inertial measurement data processing. This extraction eliminates the performance bottleneck while retaining essential positioning functionality through a simplified approach using inertial sensors and a single anchor point.
Solution Approach 2:
The patent changes the fundamental parameters of the positioning system by transitioning from visual data processing (image recognition, feature matching) to inertial measurement data processing. This parameter change from optical to inertial domains enables real-time operation with significantly reduced computational load, improving editing capability.
3Reliability
If traditional mixed reality production methods use numerous spatial anchor points, then positioning reliability is improved, but device complexity increases
Solution Approach 1:
The patent extracts and removes the complex infrastructure of numerous spatial anchor points and real-time image recognition algorithms from the system. This extraction simplifies the system architecture while maintaining positioning reliability through inertial measurement data processing and a single anchor point reference.
Solution Approach 2:
The patent segments the positioning function into two independent components: inertial measurement data acquisition (handled by sensors in the device) and coordinate system establishment (handled by a single anchor point). This segmentation eliminates the need for complex interactions between multiple anchor points and image recognition systems, reducing overall system complexity.
Data Source
AI summary
An electronic device is disclosed. The electronic device includes an inertial measurement element and a processor. The inertial measurement element is configured to obtain a first inertial measurement data when the electronic device moves. The processor is configured to perform the following operations: establishing a mixed reality environment coordinate system in correspondence according to the real space, and calculating a starting coordinate point of the electronic device in the mixed reality environment coordinate system; converting the first inertial measurement data into a first movement vector in the mixed reality environment coordinate system according to an inertial measurement data mapping model; calculating a first spatial operation point in the mixed reality environment coordinate system according to the starting coordinate point and the first movement vector in the mixed reality environment coordinate system; and executing a 3D scene editing program with the first spatial operation point.


