Developing Innovative Feature Extraction Techniques from the Emotion Recognition Field on Motor Imagery Using Brain–Computer Interface EEG Signals.
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| Title: | Developing Innovative Feature Extraction Techniques from the Emotion Recognition Field on Motor Imagery Using Brain–Computer Interface EEG Signals. |
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| Authors: | Mohamed, Amr F.1, amr.mohamed@ktu.edu, Jusas, Vacius1, vacius.jusas@ktu.lt |
| Source: | Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 23, p11323, 27p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 181655629 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181655629 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app142311323 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 11323 Titles: – TitleFull: Developing Innovative Feature Extraction Techniques from the Emotion Recognition Field on Motor Imagery Using Brain–Computer Interface EEG Signals. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mohamed, Amr F. – PersonEntity: Name: NameFull: Jusas, Vacius IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 14 – Type: issue Value: 23 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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