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

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...

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Bibliographic Details
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
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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

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