Compact Convolutional neural network (CNN) based on SincNet for end-to-end motor imagery decoding and analysis

• Main Authors: Ahmad Izzuddin, Tarmizi, Mat Safri, Norlaili, Othman, Mohd Afzan
• Format: Article
• Language: English
• Published: Elsevier B.V. 2021
• Online Access: http://eprints.utem.edu.my/id/eprint/25811/2/1-S2.0-S0208521621001200-MAIN.PDF; http://eprints.utem.edu.my/id/eprint/25811/; https://reader.elsevier.com/reader/sd/pii/S0208521621001200?token=A30143A7C366A5F537B16EAE993E2AC50295AE6028BD6DB1DBD7B0E9F406D619D54E273687490FFDE1D810B8D2F389A5&originRegion=eu-west-1&originCreation=20220310074616; https://doi.org/10.1016/j.bbe.2021.10.001
• Institution: Universiti Teknikal Malaysia Melaka

In the field of human-computer interaction, the detection, extraction and classification of the electroencephalogram (EEG) spectral and spatial features are crucial towards developing a practical and robust non-invasive EEG-based brain-computer interface. Recently, due to the popularity of end-to-en...