Dual-Precision Sensor System for Accurate Motion Tracking
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Solution Overview
Problem
Current motion detection systems in virtual environments, such as AR, VR, and MR, require high-precision sensors that are costly, power-intensive, and slower, making them less efficient for accurate location detection.
Innovation Solution
A dual-precision sensor system that records motion signals using both low-precision and high-precision sensors during a training phase to generate transformation mapping information, allowing low-precision sensors to produce high-precision motion data in real-time, thereby improving accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-precision sensors are used for motion detection in virtual environments, then measurement precision is improved, but use of energy increases and device complexity increases
Solution Approach 1:
The patent introduces machine learning models as an intermediary between low-precision sensors and high-precision motion detection requirements. The model transforms data from inexpensive, low-power sensors to achieve high-precision motion tracking without using expensive, power-intensive high-precision sensors directly
Solution Approach 2:
The patent creates a virtual copy of high-precision sensor data through machine learning transformations. Instead of using physical high-precision sensors, the system generates equivalent high-precision motion data by transforming outputs from low-precision sensors using trained models
2Measurement precision
If high-precision sensors are used for motion detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent creates a virtual copy of high-precision sensor data through machine learning transformations. Instead of using physical high-precision sensors, the system generates equivalent high-precision motion data by transforming outputs from low-precision sensors using trained models
Solution Approach 2:
The patent replaces the mechanical/sensor-based solution (physical high-precision sensors) with a computational solution (machine learning models). This substitution eliminates the need for complex hardware while achieving the same measurement precision through software-based transformation
3Use of energy by moving object
If low-precision sensors are used for motion detection, then use of energy is reduced and device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent changes the parameter of data precision through machine learning transformations. The system takes low-precision sensor outputs and transforms them into high-precision motion data by adjusting parameters such as transformation matrices, scaling factors, and calibration parameters learned during training
4Measurement precision
If high-precision sensor systems are used, then measurement precision is improved, but productivity decreases due to slower processing
Solution Approach 1:
The patent replaces the mechanical/sensor-based solution (physical high-precision sensors) with a computational solution (machine learning models). This substitution eliminates the need for complex hardware while achieving the same measurement precision through software-based transformation
Data Source
AI summary
A system and method is provided for improving sensor precision. In a training phase, a relatively low precision sensor system and a relatively high precision sensor system may record relatively low precision and relatively high precision training motion signals respectively of substantially the same training scene. Machine learning may be performed to generate a transformation mapping information from the relatively low precision training motion signal to the relatively high precision training motion signal. In a run-time phase, a run-time sensor system having a precision significantly less than the precision of the relatively high precision sensor system, may record run-time motion signals of a run-time scene. The run-time motion signal may be transformed using the transformation to generate a transformed run-time motion signal with a precision significantly greater than the precision of the run-time sensor system.