Identity recognition method based on electroencephalogram signal channel attention convolutional neural network
A technology of convolutional neural network and EEG signal, which is applied in the identification field of biometric feature extraction algorithm, can solve problems such as potential safety hazards, and achieve the effects of easy acquisition, enhanced feature propagation, and shortened number of neurons
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[0030] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.
[0031] Such as figure 1 As shown, a kind of identification method based on EEG signal channel attention convolutional neural network of the present invention comprises the following steps:
[0032] S1, select data, select EEG signals of different channels from the emotional EEG database as the original signal;
[0033] The database of EEG signals comes from the publicly available HeadIT Emotion EEG dataset, which contains both positive and negative emotion tasks. In this embodiment, a total of 20 healthy volunteers participated in the experiment. Stimulate subjects through guided language narratives to induce a realistic emotion; there are 15 guided image narratives in total, each describing different emotions and situations, separated by voice-guided relaxation episodes; subjects use The image, as the embodiment of the emotion that inspire...
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