Vehicle Seat Angle Control for Car Sickness Inhibition
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Solution Overview
Problem
Existing car sickness prevention technologies inaccurately predict car sickness based on vehicle acceleration without considering the occupant's posture, leading to ineffective prevention methods.
Innovation Solution
A car sickness inhibition device that uses the expression θ>tan−1(a/g) to determine the angle of inclination θ0 or acceleration a0 to prevent car sickness by adjusting the vehicle seat angles based on the occupant's posture and vehicle acceleration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If car sickness prevention is based only on vehicle acceleration threshold, then the system is simple to implement, but the accuracy of predicting car sickness is low
Solution Approach 1:
The system segments the acceleration signal into frequency components using Fourier transform, separating the car sickness-relevant low-frequency component from other vibrations. This allows precise prediction by focusing only on the relevant frequency band while keeping the overall system manageable.
Solution Approach 2:
The patent introduces an intermediary calculation process that uses the measured acceleration to compute a predicted head displacement amount through a specific formula involving frequency components and time constants. This intermediary value serves as a bridge between raw acceleration data and car sickness prediction, improving accuracy without requiring direct posture sensors.
2Measurement precision
If the system considers only acceleration magnitude, then the calculation is simple, but it cannot accurately determine when car sickness will occur
Solution Approach 1:
The patent replaces direct mechanical measurement of head displacement with a computational model that calculates predicted head displacement from acceleration data. The formula y(t) = (1/k) × (1/ω) × a₀ × (1 - e^(-ωt)) substitutes physical sensors with mathematical computation, achieving accurate prediction without complex measurement systems.
Solution Approach 2:
The system transforms the acceleration signal from time domain to frequency domain using Fourier transform, extracting the low-frequency component that is most relevant to car sickness. This parameter transformation allows the system to focus on the specific frequency characteristics that cause head displacement and predict car sickness more accurately.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately predicts and prevents car sickness by adjusting seat angles to inhibit head and upper body displacement during vehicle acceleration, enhancing occupant comfort and reducing the likelihood of car sickness.
Implementation Method 1
where g denotes gravitational acceleration
Implementation Method 2
when an acceleration a in the front-rear direction of the vehicle acts on the occupant
Data Source
AI summary
A car sickness inhibition device includes: a memory and a processor connected to the memory, the processor being configured to: acquire an acceleration a in a front-rear direction of a vehicle or angles of inclination θ of the head and upper body of an occupant sitting in a seat of the vehicle; and by using expression θ>tan−1(a/g)·(1), where g denotes gravitational acceleration, obtain from the acquired acceleration a an angle of inclination θ0 with which car sickness is inhibited, or obtain an acceleration a0 with which car sickness is inhibited.