Handheld Controller Calibration via Optical Tracking
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Solution Overview
Problem
Existing calibration methods for handheld controllers in immersive systems, such as VR and AR, often rely solely on internal motion sensors, which can lead to inaccurate tracking due to manufacturing differences and accumulated distortions, affecting the precision of user interactions in virtual environments.
Innovation Solution
A calibration system that utilizes a tracking camera and processing unit to capture streaming images of the handheld controller moving along predetermined routes, generating second movement data for comparison with first movement data from the sensor, allowing for the calculation and transmission of calibration parameters to correct sensor inaccuracies, thereby enhancing tracking precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration is performed using only internal motion sensors, then the calibration process is simple and quick, but the tracking precision deteriorates due to manufacturing differences and accumulated distortions
Solution Approach 1:
The patent introduces an external camera system as an intermediary reference standard to capture the actual movement trajectory of the handheld controller. This external mediator provides an objective reference that is independent of the internal motion sensors, allowing for accurate calibration without relying solely on the sensors that suffer from manufacturing variations and drift accumulation.
Solution Approach 2:
The patent replaces reliance on mechanical motion sensors with an optical measurement system (camera-based tracking). By substituting the mechanical sensing approach with optical tracking, the system achieves higher measurement precision since optical methods can capture movement trajectories with greater accuracy and are not subject to the same accumulation of distortions as integrated sensors.
2Measurement precision
If external camera tracking is used for calibration, then measurement precision improves, but the calibration process becomes more complex and time-consuming
Solution Approach 1:
The system performs preliminary capture of movement data during a calibration routine, storing both the sensor-generated first movement data and camera-generated second movement data. This preliminary action allows the calibration parameters to be calculated and stored for future use, so that subsequent calibration operations can be performed quickly by simply retrieving pre-calculated parameters rather than repeating the full measurement and calculation process.
Solution Approach 2:
The system enables self-calibration by automatically comparing the first movement data from sensors with the second movement data from camera tracking, calculating calibration parameters, and applying corrections without requiring manual intervention. The handheld controller autonomously performs the calibration routine by moving through predetermined trajectories while the system automatically processes the data and updates the calibration parameters.
3Measurement precision
If sensor data is used without calibration, then the system operation is simple, but manufacturing differences cause inaccurate tracking
Solution Approach 1:
The system implements self-calibration functionality where the handheld controller automatically performs calibration routines by executing predetermined movement trajectories. The calibration process is integrated into the normal operation, allowing the system to self-correct for manufacturing differences without requiring complex manual calibration procedures or specialized equipment setup by the user.
Data Source
AI summary
A calibration system configured to calibrate a handheld controller is disclosed. The calibration system includes a tracking camera, a displayer and a processing unit. The tracking camera is configured to capture streaming images involving the handheld controller. The displayer is configured to display a calibration test instruction. The processing unit is configured to receive first movement data generated by the handheld controller while the handheld controller moving; receive the streaming images captured by the tracking camera generated while the handheld controller moving; calculate second movement data according to the streaming images; calculate calibration parameters by comparing the first movement data and the second movement data; and, transmit the calibration parameters to the handheld controller. The calibration parameters are utilized by the handheld controller in generating a third movement data.