18244092. APPARATUS AND METHOD FOR MONITORING A DRIVER WITH EPILEPSY USING BRAIN WAVES simplified abstract (HYUNDAI MOTOR COMPANY)

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APPARATUS AND METHOD FOR MONITORING A DRIVER WITH EPILEPSY USING BRAIN WAVES

Organization Name

HYUNDAI MOTOR COMPANY

Inventor(s)

Jeong Su Kang of Seongnam-si (KR)

Suh Yeon Dong of Seoul (KR)

APPARATUS AND METHOD FOR MONITORING A DRIVER WITH EPILEPSY USING BRAIN WAVES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18244092 titled 'APPARATUS AND METHOD FOR MONITORING A DRIVER WITH EPILEPSY USING BRAIN WAVES

Simplified Explanation

Abstract

An apparatus and method for monitoring a driver using their brain wave signals are described in this patent application. The method involves collecting the driver's brain wave signals for a specific period of time while they are in a vehicle, analyzing these signals to determine the driver's state, and adjusting the vehicle's operation based on the determined state.

Innovation

  • The patent application introduces a novel approach to monitor a driver's state by analyzing their brain wave signals.
  • The method collects brain wave signals from the driver while they are in a vehicle, allowing for real-time monitoring of their mental state.
  • By analyzing the brain wave signals, the method can determine the driver's state, such as their level of alertness, drowsiness, or distraction.
  • The innovation enables the vehicle to adjust its operation based on the driver's state, potentially enhancing safety and preventing accidents.

Potential Applications

This technology has various potential applications, including:

  • Automotive industry: The innovation can be integrated into vehicles to enhance driver safety and prevent accidents by adjusting vehicle operation based on the driver's state.
  • Transportation services: Companies providing transportation services, such as taxis or rideshare platforms, can utilize this technology to ensure the driver's alertness and prevent accidents caused by fatigue or distraction.
  • Fleet management: Organizations with large vehicle fleets, such as delivery or logistics companies, can employ this technology to monitor their drivers' states and take appropriate actions to maintain safety and efficiency.

Problems Solved

The technology addresses several problems related to driver safety and accident prevention:

  • Drowsy driving: By monitoring the driver's brain wave signals, the method can detect signs of drowsiness and alertness, allowing for timely interventions to prevent accidents caused by fatigue.
  • Distraction: Analyzing the driver's brain wave signals can identify signs of distraction, enabling the vehicle to adjust its operation or provide warnings to mitigate the risk of accidents.
  • Human error: The technology reduces the reliance on subjective observations or self-reporting by providing objective data on the driver's state, helping to minimize accidents caused by human error.

Benefits

The adoption of this technology offers several benefits:

  • Enhanced safety: By monitoring the driver's state in real-time, the technology can help prevent accidents caused by drowsiness, distraction, or other factors affecting the driver's performance.
  • Accident prevention: Adjusting the vehicle's operation based on the driver's state can mitigate the risk of accidents and improve overall road safety.
  • Objective monitoring: The use of brain wave signals provides an objective measure of the driver's state, reducing the reliance on subjective assessments and enhancing the accuracy of monitoring.
  • Potential cost savings: By preventing accidents and reducing the associated costs, such as vehicle damage, medical expenses, and insurance claims, the technology can lead to cost savings for individuals and organizations.


Original Abstract Submitted

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.