Mental load detection method and system and related equipment

Abstract

The invention discloses a mental load detection method and system and related equipment. The method comprises the steps: after it is detected that a subject completes a preset test task, measuring thebrain of the subject through electroencephalogram test equipment, and acquiring electroencephalogram signals in M channels through the electroencephalogram test equipment; measuring the forehead areaof the subject through a functional near infrared spectrum to obtain a functional near infrared spectrum signal of the forehead area; processing the electroencephalogram signal of each channel to obtain a first characteristic parameter of the electroencephalogram signal in each channel; processing the functional near infrared spectrum signal to obtain a second characteristic parameter of the functional near infrared spectrum signal; and determining the mental load level of the subject for the mental load level according to the first characteristic parameter of the electroencephalogram signalin each channel and the second characteristic parameter of the functional near infrared spectrum signal. According to the method, online detection of mental loads is achieved, and detection of the mental loads is more accurate.

Description

technical field [0001] The present application relates to the interdisciplinary field of neural engineering and human factors engineering, and in particular relates to a method, system, electronic device and computer-readable storage medium for detecting mental workload. Background technique [0002] At present, the mental load induction program uses platforms such as car driving tasks, simulated flight driving tasks, ship combat tasks, and air traffic control tasks. The car driving task constructs a simulated car driving task environment, including the composition of simulated car operating parts, large-area display screens and simulated traffic conditions. The level of mental load induced by the car driving task is determined by setting the driving conditions of different traffic conditions. For example, setting the level-1 driving difficulty as driving straight on an open road; the level-2 driving difficulty as passing vehicles with traffic lights and passing vehicles Dr...

AI Technical Summary

Problems solved by technology

[0003] However, since the car driving task involves a variety of task characteristics, and the task characteristics change with the change of the task situation, the change of the task characteristics cannot be precisely controlled; in the simulated driving task situation, the level of mental load induced by the difficulty of the same driving task fluctuates , it cannot guarantee that the level of mental load at different times is stable, which is contradictory to the premise that the mental load induced by tasks of the same level of difficulty is assumed to be stable in the mental load research, and it is not conducive to the follow-up analysis of the mental load research; the use of subjective questionnaires Formal evaluation of the scale, the participants' own evaluation standards are inconsistent, resulting in inconsistent results of the evaluation data

Images