CFBC: A Network for EEG Emotion Recognition by Selecting the Information of Crucial Frequency Bands

• Published in: IEEE sensors journal Vol. 24; no. 19; pp. 30451 - 30461
• Main Authors: Zhu, Mu, Bai, Zhongli, Wu, Qingzhou, Wang, Junchi, Xu, Wenhui, Song, Yu, Gao, Qiang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Band theory; Brain modeling; Convolution; Convolutional neural networks; Crucial frequency band selector; Electrodes; Electroencephalography; electroencephalography (EEG); Emotion recognition; Emotions; Feature extraction; Feature maps; Feature recognition; Frequencies; Frequency conversion; Frequency domain analysis; Frequency ranges; Position (location); Power spectral density; Spatial data; spatial feature extractor; spatial-frequency feature

In this work, inspired by the frequency band division theory of electroencephalogram (EEG) signals, we propose the crucial frequency band convolution (CFBC) network method to explore the crucial frequency range of frequency domain features. CFBC includes two parts: spatial feature extractor and cruc...