EEG-Guided Mindfulness Feedback for Motion Sickness Relief
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Solution Overview
Problem
Current methods for addressing motion sickness, such as drug therapy and anti-motion-sickness glasses, are ineffective for many individuals and come with side effects, lacking a universally applicable and side-effect-free solution.
Innovation Solution
A motion sickness intervention method using mindfulness meditation guided by a brain-computer interface, which collects EEG signals to assess motion sickness levels and provides tailored meditation feedback scenarios based on real-time EEG data and road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drug therapy is used to address motion sickness, then the effectiveness may vary, but side effects occur and many passengers are unwilling to accept it
Solution Approach 1:
The patent replaces pharmacological intervention with a brain-computer interface system that uses EEG signal detection and mindfulness meditation guidance. This substitutes chemical/drug-based treatment with a neurofeedback-based mechanical and psychological intervention, eliminating side effects while aiming to maintain or improve effectiveness through real-time brain state monitoring and guided relaxation
Solution Approach 2:
The patent introduces an intermediary system consisting of the BCI interface, EEG analysis algorithms, and mindfulness meditation content as a mediator between the user's brain and the motion sickness relief mechanism. This intermediary translates brain signals into personalized meditation guidance, creating a non-invasive pathway to alleviate symptoms without direct drug administration
2Object-affected harmful factors
If anti-motion-sickness glasses are worn, then the method is non-invasive, but many passengers experience no noticeable effect
Solution Approach 1:
The patent implements real-time feedback by continuously monitoring EEG signals to detect changes in brain states associated with motion sickness. The system provides dynamic feedback through personalized mindfulness meditation guidance and visual feedback scenarios that adapt to the user's current neurological state, enabling closed-loop control for more reliable symptom relief compared to static passive devices
Solution Approach 2:
The patent transforms the static, passive approach of anti-motion-sickness glasses into a dynamic, adaptive system. The BCI system continuously adjusts meditation guidance parameters, feedback intensity, and intervention strategies based on real-time EEG analysis, allowing the treatment to evolve with the user's changing brain state and motion sickness symptoms
3Object-affected harmful factors
If EEG signals are collected and analyzed in real-time with personalized meditation guidance, then motion sickness can be effectively alleviated without side effects, but the device complexity increases
Solution Approach 1:
The patent integrates multiple functions into a single BCI system: EEG signal acquisition, real-time signal processing and analysis, motion sickness level detection, personalized meditation content delivery, and visual feedback generation. This multi-functional integration reduces the need for separate devices while managing complexity through unified system architecture that handles diverse tasks through coordinated subsystems
Data Source
AI summary
Provided is a motion sickness intervention method based on mindfulness meditation and brain-computer interface. The method includes: collecting multi-channel/single-channel electroencephalographic (EEG) signals of the current user in real time; determining the motion sickness level from the multi-channel/single-channel EEG signals, where the motion sickness level includes a first level and a second level; and in response to the motion sickness level being the first level, performing a suspension operation; or in response to the motion sickness level being the second level, selecting a meditation feedback scenario and guiding the current user to meditate to alleviate motion sickness.