Automobile driver brain visual load evaluation method and system based on subtask

Abstract

The invention discloses an automobile driver brain visual load evaluation method and system based on a subtask, which belong to the technical field of brain load measurement. The problem that the brain load of the driver cannot be objectively evaluated in real time in the prior art is solved. The automobile driver brain visual load evaluation method based on a subtask comprises the following stepsthat when a simulated rear automobile and an automobile where a driver is located move in the same direction, and when the interval between the simulated rear automobile and the automobile where thedriver is located reaches a set threshold value, whether the driver makes the automobile decelerate or accelerate or not is judged; according to whether the action of decelerating or accelerating thevehicle is carried out or not and the reaction time under the condition of carrying out the action of decelerating or accelerating the vehicle, whether the time used by the simulated vehicle, the eyemovement angular velocity and the color of the simulated vehicle are correctly recognized or not is found, and the brain load of the driver is evaluated. According to the method, the brain load of thedriver can be objectively evaluated in real time.

Description

technical field [0001] The invention relates to the technical field of brain load measurement, in particular to a method and system for assessing visual load of a car driver's brain based on secondary tasks. Background technique [0002] At present, brain load measurement methods are mainly divided into three categories: work performance evaluation method, physiological measurement method and subjective measurement method. Physiological measurement method expresses brain load by measuring physiological characteristics such as EEG signals, and has high accuracy. It has high requirements and cannot be carried out in real time; the subjective measurement is the driver’s self-assessment of his own brain load, which is easy to use but not objective enough; the work performance evaluation method uses the performance of the testee when completing a certain task as the brain load. The measurement index reflects the ability of the testee to complete the task in a certain environment....

AI Technical Summary

Problems solved by technology

[0002] At present, brain load measurement methods are mainly divided into three categories: work performance evaluation method, physiological measurement method and subjective measurement method. Physiological measurement method expresses brain load by measuring physiological characteristics such as EEG signals, and has high accuracy. It has high requirements and cannot be carried out in real time; the subjective measurement is the driver’s self-assessment of his own brain load, which is easy to use but not objective enough; the work performance evaluation method uses the performance of the testee when completing a certain task as the brain load. The measurement index reflects the ability of the testee to complete the task in a certain environment. It is divided into the main task measurement method and the secondary task measurement method. For car drivers, driving a car is their main task, while driving The performance of the car is difficult to use as a measure of brain load. The secondary task measurement method indirectly reflects the brain load of the main task by measuring the performance of people completing secondary tasks. It measures the remaining working capacity of the human brain, and human vision has strong adaptability. It can identify targets in a complex and changeable environment. Based on human vision, using the secondary task measurement method to measure the driver's brain load is a simple, objective and real-time method for evaluating the driver's brain load.

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