A novel Capsule Neural Network based model for drowsiness detection using electroencephalography signals

作者：

Highlights：

• A Capsule Network for drowsiness detection method is proposed.

• The system is based on spectrogram images concatenate information from Fz and Pz.

• The traditional drowsiness detection methods need a big number of data.

• The proposed method improves the results even with a small number of images.

• The proposed method outperforms state of the art in comparison with CNN and ML.

摘要

•A Capsule Network for drowsiness detection method is proposed.•The system is based on spectrogram images concatenate information from Fz and Pz.•The traditional drowsiness detection methods need a big number of data.•The proposed method improves the results even with a small number of images.•The proposed method outperforms state of the art in comparison with CNN and ML.

论文关键词：Deep Learning,Drowsiness,Electroencephalography,Capsule Neural Network,Convolutional Neural Network

论文评审过程：Received 16 December 2019, Revised 13 April 2021, Accepted 22 March 2022, Available online 5 April 2022, Version of Record 14 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116977