Eye-Tracking Vehicle Control for Viewing Direction Deviations
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Solution Overview
Problem
Existing vehicle control systems lack reliable and robust view-based control mechanisms, particularly for users with viewing direction deviations such as strabismus, which can impair the effectiveness of automated functions.
Innovation Solution
A device and method that determine a user's viewing direction deviation by analyzing eye movements using an interior camera, adjust vehicle control parameters based on these deviations, and adapt or suppress view-based control accordingly to ensure safe and reliable operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If view-based control is implemented using standard eye tracking, then automated vehicle guidance can be achieved, but the system becomes unreliable for users with viewing direction deviations such as strabismus
Solution Approach 1:
The system dynamically adapts its control parameters based on detected viewing direction deviations. Calibration procedures adjust the mapping between eye movement patterns and vehicle control commands, allowing the system to maintain reliability for users with strabismus or other viewing deviations by transforming static control parameters into dynamic, user-specific parameters.
Solution Approach 2:
The system changes control parameters through calibration procedures that determine individual viewing direction characteristics. By measuring and storing deviation parameters for each user, the system modifies the relationship between eye movements and control outputs, enabling reliable operation despite anatomical variations in eye alignment.
2Reliability
If the system suppresses view-based control for users with viewing direction deviations, then safety is maintained, but the ease of operation deteriorates
Solution Approach 1:
The system converts the potentially harmful effect of viewing direction deviations into a beneficial calibration opportunity. By detecting deviations and automatically adjusting control parameters through calibration procedures, the system transforms users with strabismus or other deviations from problematic cases into users with personalized control profiles, maintaining both safety and ease of operation.
Solution Approach 2:
The system implements feedback through calibration procedures that measure individual viewing characteristics and use this information to adjust control parameters. This closed-loop approach ensures that users with viewing deviations receive customized control mappings, maintaining safety while preserving ease of operation through adaptive parameter adjustment.
3Measurement precision
If calibration procedures are implemented to detect viewing direction deviations, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system performs self-calibration by automatically detecting viewing direction deviations and adjusting its own control parameters. The calibration procedures are integrated into the normal operation flow, allowing the system to characterize individual user patterns without requiring external calibration equipment or complex additional hardware, thus improving measurement precision while limiting complexity growth.
Data Source
AI summary
A device for controlling a vehicle function of a vehicle includes a processor configured to determine that the user of the vehicle has a viewing direction deviation of: (a) viewing direction vectors of the left eye and (b) viewing direction vectors of the right eye of the user. The processor is configured to, in response to the determination, effectuate at least one measure with respect to a view-based control of a vehicle function of the vehicle.