Vehicle Occupant Makeup Assistance Using Predicted Shake Alerts
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Solution Overview
Problem
Existing vehicle occupant assistance technologies do not consider the impact of vehicle shakes during travel, such as from road roughness, steering, and braking, when assisting with makeup applications, potentially disrupting the makeup process.
Innovation Solution
A vehicle occupant assistance apparatus that predicts vehicle acceleration based on surroundings and map information, notifying the occupant of impending shakes to facilitate safe and effective makeup application, with customizable notification thresholds and direction-specific predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle provides assistance information for makeup application, then the occupant can apply makeup safely, but the system generates notifications that may annoy the occupant when unnecessary
Solution Approach 1:
The system performs preliminary prediction of acceleration events using map information and vehicle sensor data before they occur. By notifying the occupant in advance of predicted shakes rather than reacting after they happen, the system enables proactive preparation without causing unnecessary interruptions, thus improving makeup application safety while reducing notification annoyance.
Solution Approach 2:
The system continuously monitors actual vehicle acceleration via sensors and compares it against predicted acceleration values. This feedback mechanism allows the system to validate its predictions and adjust future predictions accordingly, ensuring notifications are only generated when actual shakes are likely to occur, thereby maintaining reliability while minimizing false alarms that cause annoyance.
2Reliability
If the system notifies the occupant of all predicted acceleration events, then makeup application safety is improved, but unnecessary notifications occur when acceleration is minimal
Solution Approach 1:
The system dynamically adjusts the notification threshold based on the predicted acceleration magnitude and the current makeup application state. When acceleration predictions exceed a predetermined threshold that would actually disrupt makeup application, notifications are generated. This parameter-based filtering ensures safety-critical notifications are provided while eliminating time-wasting notifications for minimal accelerations.
3Device complexity
If the system uses simple acceleration threshold notification, then the system complexity is low, but it cannot accurately predict the impact of vehicle shakes on makeup application
Solution Approach 1:
The system performs preliminary prediction of acceleration events using map information and vehicle sensor data before they occur. By notifying the occupant in advance of predicted shakes rather than reacting after they happen, the system enables proactive preparation without causing unnecessary interruptions, thus improving makeup application safety while reducing notification annoyance.
Solution Approach 2:
The system continuously monitors actual vehicle acceleration via sensors and compares it against predicted acceleration values. This feedback mechanism allows the system to validate its predictions and adjust future predictions accordingly, ensuring notifications are only generated when actual shakes are likely to occur, thereby maintaining reliability while minimizing false alarms that cause annoyance.
Data Source
AI summary
A vehicle occupant assistance apparatus predicts acceleration occurring when a vehicle is traveling. When a make-up mode is activated, assistance information is notified before a predetermined value of the acceleration occurs, based on predicted values of the acceleration. Thus, since the assistance information is notified to an occupant before the vehicle shakes due to the predetermined value of the acceleration, assistance taking a shake of the vehicle into consideration can be rendered to the occupant who applies make-up when the vehicle is traveling.


