HMD Viewpoint Compensation Testing Under Motion and Vibration
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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 and orientation errors by combining HMD spatial position data with motion cueing system information, generating virtual adjustment information, and determining errors through positional displacement vectors and orientation angles, with thresholds for pass/fail criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion cueing system is used to provide realistic motion feedback, then simulation realism is improved, but HMD position stability deteriorates due to vibration and position changes
Solution Approach 1:
The system continuously monitors HMD position and orientation using tracking systems, compares actual position with expected position, and generates corrective visual feedback in the virtual environment to compensate for motion-induced position changes, thereby maintaining viewpoint stability while preserving motion realism
Solution Approach 2:
The system dynamically adjusts rendering parameters such as viewpoint position, field of view, and image stabilization based on real-time HMD motion data to compensate for vibration and position changes caused by motion cueing, resolving the contradiction between motion realism and position stability
2Measurement precision
If HMD tracking sensitivity is increased to improve viewpoint accuracy, then measurement precision is improved, but system complexity increases due to additional sensors and processing
Solution Approach 1:
The system uses multi-functional tracking infrastructure that serves both motion capture and viewpoint compensation functions, reducing overall system complexity while maintaining high measurement precision through integrated sensor arrays and unified processing pipelines
Data Source
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AI summary
Methods, apparatuses, and non-transitory storage media are provided. An example method includes displaying (1002), 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 (1004) positioning information for a movement along a test axis applied to a test stand. The method includes receiving (1006) HMD spatial position data associated with the HMD. The method includes generating (1010) virtual adjustment information by combining the HMD spatial position data with the positioning information. The method includes recording (1012) reference data, and generating (1014) a positional displacement vector by comparing reference data of the first and second shapes. The method includes determining (1016) an error according to the positional displacement vector, and determining (1018) a test result according to the error.