Vehicle Motion Sickness Estimation Using Eye State and Face Direction
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Solution Overview
Problem
Existing methods for estimating motion sickness in vehicles, such as described in WO 2018/070330, face challenges in ensuring sufficient accuracy due to the need for precise detection of the occupant's line of sight and object vibrations, which can lead to inaccurate estimation.
Innovation Solution
A motion sickness estimation device that includes an opening and closing detection unit, a face direction estimation unit, and an occupant state estimation unit, which calculates a progression rate of motion sickness based on eye opening and closing states and face direction, using machine learning models to correct and refine the estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vibration detection methods are used to estimate motion sickness, then the estimation can be performed, but the estimation accuracy is insufficient due to difficulties in accurately detecting line of sight vibration and object vibration
Solution Approach 1:
The patent replaces the mechanical vibration detection method with an optical detection method. Instead of measuring vibrations mechanically, the system uses a camera to capture images and analyzes eye movement patterns (saccades,瞳孔 changes, head position) to infer motion sickness state, thereby avoiding the difficulty of detecting line of sight vibration and object vibration mechanically
Solution Approach 2:
The patent introduces an intermediary parameter - eye movement characteristics - as a mediator between the actual motion sickness state and the measurable quantities. By detecting eye movements (saccades,瞳孔 dilation, head position) which are easier to measure than direct vibration, the system indirectly infers motion sickness accuracy without needing to directly measure the difficult vibration parameters
2Measurement precision
If eye opening and closing state and face direction are used for estimation, then the estimation accuracy is improved, but the device complexity increases due to multiple detection units
Solution Approach 1:
The patent makes the camera serve multiple functions: it detects eye opening/closing state, estimates face direction, and captures head position information all through a single optical device. This multi-functionality approach improves estimation accuracy while avoiding the need for separate sensors for each parameter, thereby controlling device complexity
Solution Approach 2:
The patent merges multiple detection functions into a single integrated system. Instead of using separate sensors for eye state detection, face direction estimation, and head position measurement, the system combines all these functions into one camera-based detection unit that processes multiple types of information simultaneously, reducing overall device complexity
Data Source
AI summary
The motion sickness estimation device includes an opening and closing detection unit configured to detect an opening/closing state of an eye of a vehicle occupant, a face direction estimation unit configured to estimate an orientation of a face of the occupant, and an occupant state estimation unit configured to calculate a traveling speed of the motion sickness with respect to the occupant based on the opening/closing state of the eye and the orientation of the face.