A method, device, medium and equipment for individual heterogeneity-based car sickness alleviation control

By acquiring passenger characteristics and calculating similarity, selecting similar feature vectors, determining and implementing motion sickness relief strategies, the problem of ignoring individual heterogeneity in existing technologies is solved, and the personalized motion sickness relief effect is improved.

CN122402552APending Publication Date: 2026-07-17CHINA AUTOMOTIVE INFORMATION TECH (TIANJIN) CO LTD
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Patent Information

Application Number
CN202610641199.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-11
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technical solutions ignore individual heterogeneity, resulting in limited effectiveness of uniform motion sickness relief measures. They also lack quantitative prediction methods, making it difficult to achieve personalized motion sickness relief strategies.

Method used

By acquiring the static and physiological characteristics of motion sickness passengers, calculating the similarity with the feature database, selecting similar feature vectors, calculating the treatment effect of each soothing strategy, determining and implementing the target soothing strategy, evaluating its effectiveness, and dynamically adjusting the strategy to meet individual needs.

Benefits of technology

It has enabled the provision of quantitative predictions and personalized motion sickness relief strategies based on individual passenger differences, thereby improving the effectiveness of motion sickness relief.

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Abstract

This application provides a method, device, medium, and equipment for controlling motion sickness based on individual heterogeneity. The method involves: acquiring a target feature vector; selecting multiple similar feature vectors from a feature library; determining a target soothing strategy based on the treatment effect of each similar feature vector under each soothing strategy; evaluating the motion sickness soothing effect of the target soothing strategy; and adjusting the target soothing strategy if the soothing effect is lower than a preset value. By acquiring feature vectors and selecting multiple similar feature vectors with high similarity from the feature library, calculating the treatment effect of similar feature vectors under each soothing strategy, and selecting a target soothing strategy, the method quantitatively calculates the most suitable motion sickness soothing strategy for the current needs of motion sick passengers. Furthermore, after implementing the target soothing strategy, the soothing effect is evaluated. If the effect is not satisfactory, the soothing strategy is adjusted, and the soothing strategy is dynamically updated to meet the needs of motion sickness soothing, thereby improving the motion sickness soothing effect for passengers.
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