An evaluation of different fast fourier transform - transfer learning pipelines for the classification of wink-based EEG signals

• Main Authors: Jothi Letchumy, Mahendra Kumar, Rashid, Mamunur, Musa, Rabiu Muazu, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed
• Format: Article
• Language: English
• Published: Penerbit UMP 2020
• Subjects: TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/30700/2/An%20Evaluation%20of%20Different%20Fast%20Fourier%20Transform%20-%20Transfer%20Learning%20Pipelines%20for%20the%20Classification%20of%20Wink-based%20EEG%20Signals.pdf; http://umpir.ump.edu.my/id/eprint/30700/; https://journal.ump.edu.my/mekatronika/article/view/5939/1099; https://doi.org/10.15282/mekatronika.v2i1.4881
• Institution: Universiti Malaysia Pahang

Brain Computer-Interfaces (BCI) offers a means of controlling prostheses for neurological disorder patients, primarily owing to their inability to control such devices due to their inherent physical limitations. More often than not, the control of such devices exploits the use of Electroencephalogra...