A deep descriptor for cross-tasking EEG-based recognition

• Published in: PeerJ. Computer science Vol. 7; p. e549
• Main Authors: Mota, Mariana R.F., Silva, Pedro H.L., Luz, Eduardo J.S., Moreira, Gladston J.P., Schons, Thiago, Moraes, Lauro A.G., Menotti, David
• Format: Journal Article
• Language: English
• Published: San Diego PeerJ. Ltd 19.05.2021; PeerJ, Inc; PeerJ Inc
• Subjects: Artificial Intelligence; Bioinformatics; Biometric; Biometrics; Biometry; Cable television broadcasting industry; Channels; CNN; Data augmentation; Data Mining and Machine Learning; Datasets; Deep learning; Electrodes; Electroencephalogram; Electroencephalography; Excitation; Expert systems; Multi-task; Pattern recognition; Performance evaluation; United States

Due to the application of vital signs in expert systems, new approaches have emerged, and vital signals have been gaining space in biometrics. One of these signals is the electroencephalogram (EEG). The motor task in which a subject is doing, or even thinking, influences the pattern of brain waves a...