Driver Brain Wave Monitoring for Seizure-Responsive Vehicle Control
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Solution Overview
Problem
Current vehicle control systems lack the ability to effectively monitor and respond to a driver's state, particularly for individuals with epilepsy, to ensure safe operation and prevent accidents during seizures.
Innovation Solution
A brain wave signal monitoring apparatus and method that collects and analyzes brain wave signals to determine a driver's state, using thresholds and learning models to classify normal and seizure states, and controls vehicle operations such as speed, power, and location transmission accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If brain wave signal monitoring is implemented to detect driver's seizure state, then driving safety is improved, but device complexity increases
Solution Approach 1:
The monitoring apparatus is integrated into the vehicle's existing control system, allowing it to perform multiple functions: collecting brain wave signals, analyzing seizure states, and controlling vehicle operations (acceleration, braking, steering) through a single unified system, thereby reducing overall device complexity while improving safety
Solution Approach 2:
A signal processor acts as an intermediary between the brain wave signal collector and the vehicle controller, analyzing brain wave patterns and converting them into control signals that the vehicle system can understand and execute, simplifying the integration of the monitoring system with existing vehicle controls
2Reliability
If vehicle control operations are limited based on driver's state, then accident prevention is improved, but ease of operation deteriorates
Solution Approach 1:
The vehicle control system dynamically adjusts its level of intervention based on the driver's real-time brain wave state. When seizure indicators are detected, the system automatically limits acceleration, braking, and steering operations. When the driver is in a normal state, full control is restored, creating a dynamic balance between safety and operational freedom
3Loss of time
If brain wave signal analysis is performed in real-time, then response time to seizures is improved, but use of energy increases
Solution Approach 1:
The signal processor continuously analyzes brain wave signals without interruption, maintaining constant monitoring of the driver's state. This continuous analysis enables immediate detection of seizure onset and rapid vehicle control intervention, minimizing response time while the system is designed to operate efficiently within available power constraints
Data Source
AI summary
An apparatus and method for monitoring a driver using a brain wave signal of the driver are disclosed. The monitoring method includes collecting a brain wave signal for a driver in a vehicle for a predetermined time, determining the driver's state by analyzing the brain wave signal collected for the predetermined time, and controlling an operation of the vehicle on the basis of the determined driver's state.