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

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...

詳細記述

書誌詳細
主要な著者: Jothi Letchumy, Mahendra Kumar, Rashid, Mamunur, Musa, Rabiu Muazu, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed
フォーマット: 論文
言語:English
出版事項: Penerbit UMP 2020
主題:
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス: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

インターネット

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

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