HMD Viewpoint Compensation Measurement Under Motion Cueing
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Solution Overview
Problem
Existing flight simulator systems using head-mounted displays (HMDs) face challenges in accurately maintaining viewpoint fidelity due to undesirable position changes caused by motion cueing or vibration, leading to false visual cues and potential motion sickness.
Innovation Solution
A method and apparatus that utilize a virtual environment with adjustable shapes to measure HMD movement tracking errors by combining HMD spatial position data with motion cueing system positioning information, generating virtual adjustment information, and determining positional displacement vectors to assess tracking accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion cueing system is used to simulate realistic movement, then simulation realism is improved, but HMD position stability deteriorates causing false visual cues
Solution Approach 1:
The system continuously monitors HMD position using sensors and compares it with the intended position from motion cueing commands. When deviations are detected, the system generates compensatory visual adjustments in real-time to counteract the position drift, maintaining viewpoint fidelity despite motion-induced instability
Solution Approach 2:
The patent introduces an intermediary compensation system that acts as a mediator between the motion cueing system and the HMD display. This intermediary layer processes position data from both sources and generates corrective visual transformations, effectively decoupling the destabilizing motion effects from the final visual output
2Measurement precision
If HMD tracking system monitors position changes, then viewpoint fidelity measurement is improved, but system complexity increases
Solution Approach 1:
The system uses a single integrated tracking framework that simultaneously serves multiple functions: monitoring HMD position for viewpoint fidelity measurement, providing data for motion sickness detection, and enabling real-time compensation. This multi-functional approach avoids the need for separate specialized systems for each function
Solution Approach 2:
The HMD tracking system is designed to automatically calibrate and compensate for its own errors without requiring external intervention. The system uses its own sensor data to identify tracking deviations and autonomously generates correction algorithms, reducing the need for additional external measurement equipment
Data Source
AI summary
Methods, apparatuses, and non-transitory storage media are provided. An example method includes displaying, in a virtual viewpoint of a virtual environment, the virtual environment including a first shape and a second shape. The second shape adjusts as the virtual viewpoint adjusts, in response to movement of a HMD secured to a test stand, and the first shape is affixed. The method includes receiving positioning information for a movement along a test axis applied to a test stand. The method includes receiving HMD spatial position data associated with the HMD. The method includes generating virtual adjustment information by combining the HMD spatial position data with the positioning information. The method includes recording reference data, and generating a positional displacement vector by comparing reference data of the first and second shapes. The method includes determining an error according to the positional displacement vector, and determining a test result according to the error.