Predictive In-Vehicle Display Alignment for Motion Sickness Relief
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Solution Overview
Problem
Passengers in vehicles often experience motion sickness due to the deviation between visual perception and balance, making it difficult to enjoy graphic content like films or games while traveling.
Innovation Solution
A method that uses sensors to predict vehicle movements and adjust the displayed graphic content in real-time to match the passenger's perceived motion, maintaining a consistent relative position and orientation to reduce motion sickness, employing a control unit that integrates environmental, vehicle, and communication data to adapt the image section on the display system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If graphic content is displayed in a vehicle during motion, then entertainment value and user engagement are improved, but motion sickness occurs due to discrepancy between visual perception and balance
Solution Approach 1:
The system performs preliminary action by predicting future vehicle motion states using sensor data and machine learning models before the motion occurs. This allows the display system to pre-adjust the graphic content transformation parameters, so when the vehicle actually moves, the visual content has already been compensated to match the predicted motion, preventing the sensory conflict that causes motion sickness
Solution Approach 2:
The system applies parameter changes by dynamically transforming the graphic content parameters (position, orientation, scale, rotation angle) based on detected and predicted vehicle motion parameters. The control unit adjusts these display parameters in real-time to compensate for vehicle movements, creating a visual experience that counteracts the physical motion and reduces the discrepancy between visual and vestibular perception
2Loss of information
If the entire image signal is displayed on the screen, then complete visual information is provided, but motion-induced discomfort increases due to larger visual field changes
Solution Approach 1:
The system applies segmentation by dividing the complete image signal into multiple sections and selectively displaying only the relevant portion on the screen at any given time. The control unit determines which section to display based on the vehicle's current motion state and predicted future motion, showing only the area that remains visually stable or moves in a comfortable manner, thereby reducing overall visual field changes while preserving essential visual information
Solution Approach 2:
The system implements local quality by applying different transformation characteristics to different sections of the image signal. Instead of uniformly transforming the entire image, the control unit selectively adjusts position, orientation, and scale parameters for specific regions based on their relevance to the current vehicle motion state, optimizing visual comfort for critical areas while minimizing transformations elsewhere
3Object-affected harmful factors
If graphic content is transformed in real-time based on vehicle motion, then motion sickness is reduced, but computational complexity and processing requirements increase
Solution Approach 1:
The system reduces computational complexity through preliminary action by using machine learning models to predict future vehicle motion states in advance. This prediction capability allows the control unit to pre-calculate the necessary image transformation parameters, avoiding the need for complex real-time calculations during actual motion events, thereby reducing processing load while maintaining effective motion compensation
Solution Approach 2:
The system applies partial action by selectively transforming only the necessary portions of the graphic content rather than processing the entire image signal at full resolution and detail. The control unit identifies and transforms only the relevant image sections that need adjustment based on vehicle motion, reducing the overall computational burden while still achieving motion sickness reduction for the displayed content
4Productivity
If only a section of the image signal is displayed, then computational load is reduced and motion comfort is improved, but visual information completeness is compromised
Solution Approach 1:
The system uses preliminary action by predicting future vehicle motion states to determine which image sections will remain visually stable or move comfortably. This predictive capability allows the control unit to select and display the most relevant sections in advance, ensuring that essential visual information is captured and displayed before the vehicle motion occurs, thereby maintaining information completeness within the constrained display area
Solution Approach 2:
The system implements dynamics by continuously and dynamically adjusting which sections of the image signal are displayed based on real-time vehicle motion data and predicted future states. The control unit adapts the displayed content sections dynamically, ensuring that the most relevant visual information is always presented in the optimal position, maintaining both processing efficiency and visual information completeness through adaptive content selection
Data Source
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AI summary
The invention relates to a method for graphically displaying contents in a motor vehicle (10) for avoiding travel sickness in the passengers in the motor vehicle (10). In this case, the motor vehicle (10) has a first sensor (11, 12, 13) which is designed for detecting ambient data, a second sensor (51, 52, 53) which is designed for detecting vehicle data, a communication module (20) and a display system (30) which is designed for displaying graphical contents and has a screen (31). The method which is carried out in a motor vehicle (10) of this kind comprises at least the steps of: displaying (S100) an initial image section (32) of an image signal on the screen (31); predicting (S200) a change in a state of motion of the motor vehicle (10) on the basis of at least one signal which is received from the at least one first sensor (11, 12, 13), the at least one second sensor (51, 52, 53) and/or the communication module (20); predicting (S300) a change in a relative position between a user (70) and the initial image section (32) on the basis of the predicted change in the state of motion of the motor vehicle (10); and displaying (S400) an adapted image section (33) in accordance with the predicted change in the relative position between the user (70) and the initial image section (32). The invention further relates to a motor vehicle (10) for carrying out the method.