Electroencephalogram capturing method and system for typical mental state of operator

Abstract

The invention discloses an electroencephalogram capturing method and system for the typical mental state of an operator. An electroencephalogram signal collecting module collects electroencephalogram signals of the typical mental state of the operator in a capturing instruction triggering collecting mode and a timing collecting mode, and comprises a first computer unit and an electroencephalogram collecting device connected with the first computer unit; a virtual cooperative robot operation module controls a virtual cooperative robot to complete a typical mental state inducing task, continuously induces the operator to generate multiple typical mental states, and comprises a second computer unit used for simulating the movement of the cooperative robot and a control instruction sending device connected with the second computer unit; and the first computer unit is connected with the second computer unit through a data transmission network, and the functions of monitoring the dynamic process of operating the virtual cooperative robot by the operator and collecting the electroencephalogram signals of the typical mental state of the operator in a self-adaptive mode are achieved. The flexibility and the electroencephalogram data effectiveness of the electroencephalogram collecting system for the mental state of the operator are improved.

Description

technical field [0001] The invention belongs to the technical field of brain-computer interface, and in particular relates to a method and system for capturing brain electricity of an operator's typical mental state. Background technique [0002] In the man-machine system, the operator is prone to mental state fluctuations under the influence of internal or external factors when performing operational tasks, which may reduce the operator's reaction speed and operational accuracy, so the identification of the operator's mental state during work very important. Mental state identification methods based on physiological signals have attracted widespread attention due to their objectivity, and EEG signals have become an effective means of identifying mental states due to their high temporal resolution. [0003] Collecting EEG signals under different mental states is the basis for studying the EEG response mechanism of mental state changes and identifying the operator's mental s...

AI Technical Summary

Problems solved by technology

On the one hand, the existing collection of mental state-related EEG signals is mainly based on two methods. One is to collect EEG signals under continuous stimulation of pictures or audio and video methods, which has low ecological validity when applied to human-machine systems; The operator's EEG signal is collected during physical operation, and the system operation cost is relatively high in this way

On the other hand, in the actual man-machine system, the operator's mental state fluctuations do not always exist, and most of the existing EEG signal acquisition systems collect and store EEG data full-time under the stimulation of evoked materials.

This method lacks a sorting mechanism, and may mistakenly collect and store EEG signals in non-target mental states, resulting in a decrease in the reliability of the obtained EEG data

Images