A performance evaluation method for steady-state visually-evoked brain-computer interface based on eye-tracking

Abstract

The invention relates to a steady-state visual evoked brain-computer interface performance evaluation method based on eye movement tracking. Firstly, a measuring electrode, a reference electrode, a ground electrode and an output end of the electrode are respectively arranged on a user's head according to the standard, and are connected with a computer through a collector and an EEG signal amplifier. Then, according to the size of the computer screen, an eye-movement meter is placed in the center, and the eye-movement meter is connected with the computer; Then the eye movement instrument is calibrated and a target recognition task is carried out. After multiple identification tasks, the accuracy of the recognition result is calculated, The visual fixation position parameters collected by the eye movement instrument are calculated, and the accuracy rate and the visual fixation position parameters are presented to the user through the computer screen, so as to realize the evaluation of the steady state visual evoked brain-computer interface performance under different attention levels of the user, so as to strengthen the attention concentration degree of the user when executing the brain-computer interface task; The invention can evaluate the concentration degree of the steady-state visual evoked brain-computer interface.

Description

technical field [0001] The invention relates to the technical fields of neural engineering and brain-computer interface in biomedical engineering, in particular to a method for evaluating the performance of a steady-state vision-induced brain-computer interface based on eye movement tracking. Background technique [0002] Brain-computer interface (Brain-computer interface, BCI) is a communication system that does not depend on the peripheral nervous system and muscle tissue of the human body. It is based on EEG signals to realize communication between the human brain and external devices such as computers to transmit control signals. A newer way of human-computer interaction. In EEG research, there are already a variety of EEG signals that can be used as control signals for the BCI system, among which the brain-computer interface technology based on Steady-state visual evoked potentials (SSVEP) has strong anti-interference ability , the use of fewer electrodes, higher commu...

AI Technical Summary

Problems solved by technology

During use, after completing a recognition task, the recognition result is presented to the user through visual feedback, but this traditional visual feedback method can only provide simple classification results, and cannot evaluate the degree of concentration, while attention There are great individual differences in the concentration of force, and it is necessary to measure the user's true attention level when performing steady-state visually evoked BCI tasks from a more objective perspective

Images