The classification of Electrooculogram (EOG) through the application of Linear Discriminant Analysis (LDA) of selected time-domain signals

The classification of Electrooculogram (EOG) through the application of Linear Discriminant Analysis (LDA) of selected time-domain signals

Recently, Human Computer Interface (HCI) has been studied extensively to handle electromechanical rehabilitation aids using different bio-signals. Among various bio-signals, electrooculogram (EOG) signal have been studied in depth due to its significant signal pattern stability. The primary goal of...

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Bibliographic Details
Main Authors: Farhan Anis, Azhar, Mahfuzah, Mustafa, Norizam, Sulaiman, Mamunur, Rashid, Bari, Bifta Sama, Islam, Md Nahidul, Hasan, Md Jahid, Nur Fahriza, Mohd Ali
Format: Conference or Workshop Item
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Online Access:https://umpir.ump.edu.my/id/eprint/42237/

Internet

https://umpir.ump.edu.my/id/eprint/42237/

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