Ride Comfort Analysis Using Brain Wave Signals
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Solution Overview
Problem
Current mobility systems do not effectively adapt to individual passenger comfort levels, as they primarily rely on objective factors without considering the passenger's psychological state, leading to inconsistent ride comfort experiences.
Innovation Solution
A method and apparatus that utilize brain wave signals to determine ride comfort by analyzing alpha, beta, and theta waves, adjusting seating and device positions based on the passenger's psychological state to enhance comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mobility systems rely only on objective factors (seating posture information) to determine ride comfort, then the system is simple to operate, but the ride comfort determination is inaccurate because it does not consider the passenger's psychological state
Solution Approach 1:
The patent introduces brain wave signals as an intermediary to bridge the gap between objective seating posture data and subjective ride comfort perception. The brain wave analysis system acts as a mediator that translates physiological signals into comfort assessments, enabling more accurate determination without requiring direct subjective feedback from passengers.
Solution Approach 2:
The patent replaces traditional mechanical/physical measurement systems with biological signal processing. Instead of relying solely on physical sensors for posture detection, the system incorporates neural signal processing through EEG-based brain wave analysis, substituting mechanical measurement with biological signal interpretation to achieve more comprehensive comfort assessment.
2Measurement precision
If mobility systems collect and analyze brain wave signals to determine passenger psychological state, then ride comfort determination becomes more accurate, but the device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The patent implements a multi-functional analyzer that processes both seating posture information and brain wave signals through a unified processing framework. This universal system can handle multiple types of input data (objective posture data and subjective brain wave indicators) and produce comprehensive ride comfort assessments, reducing the need for separate dedicated systems for each measurement type.
Solution Approach 2:
The patent merges the seating posture detection system with the brain wave analysis system into an integrated ride comfort determination system. By combining objective physical measurements with subjective physiological indicators in a single integrated framework, the system achieves comprehensive comfort assessment while avoiding the complexity of completely separate systems.
3Adaptability or versatility
If the system adjusts multiple mobility devices (seat, steering wheel, mirror, console box) based on brain wave analysis, then personalized comfort is improved, but the control system complexity increases
Solution Approach 1:
The patent implements dynamic adjustment capabilities where mobility devices are continuously adapted based on real-time brain wave analysis. The system can dynamically modify seat position, steering wheel angle, mirror orientation, and console box placement according to the passenger's changing psychological state, transforming static configurations into dynamically responsive settings that adapt to individual comfort needs.
Solution Approach 2:
The patent applies localized adjustments to specific mobility devices based on the type and intensity of discomfort detected through brain wave analysis. Rather than uniformly adjusting all devices, the system selectively modifies only the relevant components (e.g., adjusting only the seat for relaxation needs or only the steering wheel for stress reduction), optimizing comfort while minimizing unnecessary system complexity.
Data Source
AI summary
An apparatus for determining ride comfort of a passenger using brain wave signals includes an analyzer configured to determine first ride comfort information of a passenger based on information on a seating posture of the passenger in a mobility, a sensor configured to collect brain wave signals of the passenger in the mobility for a predetermined time, and a controller configured to control the mobility, wherein the analyzer is configured to determine second ride comfort information obtained by correcting the first ride comfort information, by analyzing the collected brain wave signals based on the first ride comfort information, and wherein the controller is configured to control the mobility based on the determined second ride comfort information.