Flowchart of attention detection using EEG signals (IMAGE)
Caption
An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data acquisition, where EEG data are recorded from the subjects using electrodes; preprocessing, in which artifacts such as eye movements and muscle activity are removed and the EEG signals are filtered and segmented; feature extraction, in which relevant features such as power spectrum, entropy, and coherence are extracted from the EEG signals; classification, in which machine learning algorithms are applied to classify the attention levels based on the features; feedback, in which the classification results are presented to the users.
Credit
Beijing Zhongke Journal Publising Co. Ltd.
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CC BY