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, Rashid, Mamunur, Bari, Bifta Sama, Islam, Md Nahidul, Hasan, Md Jahid, Nur Fahriza, Mohd Ali
Format:	Conference or Workshop Item
Language:	en en
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:	http://umpir.ump.edu.my/id/eprint/39841/1/The%20Classification%20of%20Electrooculogram%20%28EOG%29%20Through%20the%20Application.pdf http://umpir.ump.edu.my/id/eprint/39841/2/The%20Classi%EF%AC%81cation%20of%20Electrooculogram%20%28EOG%29%20through%20the%20application%20of%20Linear%20Discriminant%20Analysis%20%28LDA%29%20of%20selected%20time-domain%20signals_ABS.pdf http://umpir.ump.edu.my/id/eprint/39841/ https://doi.org/10.1007/978-981-33-4597-3_53
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