Driver assistance system and method using electroencephalogram

1 . A driver assistance system using an electroencephalogram (EEG), comprising:

an EEG device comprising at least one electrode and an analog-to-digital (ADC) converter, the EEG device configured to measure an EEG signal of a driver of a vehicle; and

a processor configured to:

receive a behavior signal of the vehicle, the behavior signal including a driving mode signal indicating whether the vehicle is in a stop mode, a low-speed driving mode, or a high-speed driving mode;

filter the EEG signal to remove noise;

extract a feature point from the filtered EEG signal by analyzing a frequency component of the EEG signal;

compare the extracted feature point with one or more stored EEG signals determined to be normal to determine whether the EEG signal is a normal signal or an abnormal signal;

determine a sensitivity of a decision logic configured to provide a notification in response to a change in the driving mode signal;

determine whether to provide the notification to alert the driver based on the sensitivity of the decision logic; and

provide the notification to alert the driver in response to a determination that the EEG signal is the abnormal signal and based on the behavior signal of the vehicle.

2 . The driver assistance system of claim 1 ,

wherein the processor is further configured to determine whether the EEG signal is the normal signal based on a window size of a preset unit time.

3 . The driver assistance system of claim 2 ,

wherein the processor is further configured to control the EEG device based on the window size, in response to determining that the EEG signal is the abnormal signal.

4 . The driver assistance system of claim 1 , wherein the processor is further configured to:

determine whether the EEG device is normally worn or abnormally worn by the driver based on the EEG signal; and

provide another notification to the driver upon determining that the EEG device is abnormally worn by the driver.

5 . The driver assistance system of claim 1 ,

wherein the processor is further configured to provide the notification to the driver by controlling the vehicle, and

wherein the notification includes one or more of an audio notification, a haptic notification, or a visual notification.

6 . A processor-implemented driver assistance method for a vehicle, the method comprising:

measuring an electroencephalogram (EEG) signal of a driver of the vehicle by an EEG device comprising an electrode, an analog-to-digital (ADC) converter, and a processor;

receiving, by the processor, a driving mode signal of the vehicle that indicates one of a stop mode, a low-speed driving mode, or a high-speed driving mode;

filtering the EEG signal to remove noise;

extracting, by the processor, a feature point from the filtered EEG signal by analyzing a frequency components of the EEG signal;

determining, by the processor, whether the EEG signal is a normal signal or an abnormal signal by comparing the extracted features point to one or more stored EEG signals determined to be normal;

determining, by the processor, a sensitivity of a decision logic configured to provide a notification in response to a change in the driving mode signal;

determining, by the processor, whether to provide the notification to alert the driver based on the sensitivity of the decision logic; and

providing, by the processor, the notification to alert the driver in response to a driver negligence condition being satisfied.

7 . The driver assistance method of claim 6 ,

wherein the determination of whether the EEG signal is the normal signal or the abnormal signal is based on a window size of a preset unit time.

8 . The driver assistance method of claim 7 , further comprising:

controlling the EEG device based on the window size, in response to the determination of the EEG signal being the abnormal signal.

9 . The driver assistance method of claim 6 , further comprising:

determining whether the EEG device is normally worn by the driver based on the EEG signal; and

providing another notification to the driver upon determining that the EEG device is abnormally worn.

10 . The driver assistance method of claim 6 ,

wherein the driving mode signal comprises one of a stop mode signal, a low-speed driving mode signal, or a high-speed driving mode signal, and

wherein the providing of the notification comprises providing the notification in response to a number of times the driver is determined to be negligent per unit time according to the driving mode signal.

11 . A method of controlling rendering, within a compartment of a vehicle, of a notification to alert a driver, the method comprising:

monitoring an electroencephalogram (EEG) signal of the driver of the vehicle and determining when the driver is in a first state and when the driver is in a second state;

receiving an indication of a driving mode of the vehicle, wherein the driving mode changes between a first mode and a second mode;

filtering the EEG signal to remove noise;

extracting a feature point from the filtered EEG signal by analyzing a frequency component of the EEG signal;

determining whether the EEG signal corresponds to the first state corresponding to a normal state or the second state corresponding to an abnormal state, by comparing the extracted features point to one or more stored EEG signals determined to be normal;

based on the driver being determined to be in the first state and the driving mode being in the first mode, performing a first rendering, within the compartment of the vehicle, of a notification to alert the driver comprising one or more of an audio notification, a haptic notification, or a visual notification; and

based on the driver being determined to be in the second state and the driving mode being in the second mode, performing a second rendering, within the compartment of the vehicle, of a notification to alert the driver comprising one or more of an audio notification, a haptic notification, or a visual notification.