Vehicle Display Motion Stabilization Using Predicted Gaze Deviation
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Solution Overview
Problem
Motion stabilization in display devices is challenged by motion-induced discomfort and motion sickness, particularly in vehicles, due to mismatches between visual, vestibular, and proprioceptive systems.
Innovation Solution
A computer-implemented method and system for advanced motion stabilization, which includes receiving images for display on a vehicle-associated device, identifying device and vehicle motion data, generating predicted gaze position deviation data using a motion stabilization model framework, and adjusting the position of objects on the screen based on this data to maintain a stable user gaze.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion stabilization is implemented using traditional methods, then some motion compensation is achieved, but motion-induced discomfort and motion sickness persist due to mismatches between visual, vestibular, and proprioceptive systems
Solution Approach 1:
The patent transforms raw motion data into predicted gaze position deviations by applying multiple transformation parameters including device motion data, vehicle motion data, and physiological parameters. This multi-parameter transformation approach resolves the contradiction by precisely compensating for motion effects while maintaining natural visual perception, thereby reducing motion sickness without sacrificing stabilization effectiveness
Solution Approach 2:
The patent introduces an intermediary computational layer that processes the mismatch between visual and vestibular inputs. By calculating predicted gaze position deviations as an intermediate representation and using it to adjust object positions on the display, the system mediates the conflict between motion detection and visual stability, effectively reducing motion-induced discomfort while maintaining reliable motion stabilization
2Measurement precision
If multiple motion data inputs are processed to improve gaze prediction accuracy, then motion stabilization precision is enhanced, but computational complexity and processing requirements increase
Solution Approach 1:
The patent performs preliminary calculations by pre-processing device motion data and vehicle motion data into predicted gaze position deviations before the actual display rendering occurs. This preliminary action allows the system to prepare compensation transformations in advance, achieving high prediction accuracy while managing computational complexity through staged processing rather than real-time complex calculations
Solution Approach 2:
The patent segments the motion stabilization process into distinct computational stages: collecting device motion data, collecting vehicle motion data, calculating predicted gaze position deviations, and adjusting object positions. This segmentation allows each stage to be optimized independently, maintaining high precision gaze prediction while reducing overall computational complexity through modular processing
Data Source
AI summary
Embodiments of the present disclosure provide techniques for advanced motion stabilization in display devices. A first image for rendering on a display device associated with a vehicle may be received. The first image may include at least one object. Device motion data for the display device may be identified. The device motion data may include one or more of device acceleration motion or device angular motion. Vehicle motion data for the vehicle may be identified. Predicted gaze position deviation data may be generated based on the device motion data and vehicle motion data. The position of the at least one object on a screen of the display device may be adjusted based at least in part on the predicted gaze position deviation data.