Method and device for detecting driver distraction

A device for detecting driver distraction, comprising:

• an acquiring unit, configured for acquiring EEG data of a driver;
• a detecting unit, configured for preprocessing the EEG data, and then inputting the EEG data to a distraction detection model that is pre-trained to obtain a distraction detection result of the driver, wherein the distraction detection model is obtained by training a preset recurrent neural network using EEG sample data and corresponding distraction result labels;
• and
• a sending unit, configured for sending the distraction detection result to an in-vehicle terminal associated with identity information of the driver, wherein the distraction detection result is configured for triggering the in-vehicle terminal to generate driving reminder information according to the distraction detection result.

A device for detecting driver distraction, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, the processor implements the following steps when executing the computer program:

• acquiring EEG data of a driver;
• preprocessing the EEG data, and inputting the EEG data into a distraction detection model that is pre-trained to obtain a distraction detection result of the driver, wherein the distracted detection model is obtained by training a preset recurrent neural network using EEG sample data and corresponding distraction result labels;
• and
• sending the distraction detection result to an in-vehicle terminal associated with identity information of the driver, wherein the distraction detection result is configured for triggering the in-vehicle terminal to generate driving reminder information according to the distraction detection result.

A computer-readable storage medium, the computer-readable storage medium stores a computer program, characterized in that, when the computer program is executed by a processor, the following steps are implemented:

• acquiring EEG data of a driver;
• preprocessing the EEG data, and inputting the EEG data into a distraction detection model that is pre-trained to obtain a distraction detection result of the driver;
• wherein the distracted detection model is obtained by training a preset recurrent neural network using EEG sample data and corresponding distraction result labels;
• and
• sending the distraction detection result to an in-vehicle terminal associated with identity information of the driver, wherein the distraction detection result is configured for triggering the in-vehicle terminal to generate driving reminder information according to the distraction detection result.