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...
मुख्य लेखकों: | , , , , , , , |
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स्वरूप: | Conference or Workshop Item |
भाषा: | English English |
प्रकाशित: |
Springer Science and Business Media Deutschland GmbH
2022
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विषय: | |
ऑनलाइन पहुंच: | 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 |
इंटरनेट
http://umpir.ump.edu.my/id/eprint/39841/1/The%20Classification%20of%20Electrooculogram%20%28EOG%29%20Through%20the%20Application.pdfhttp://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