MYFED: a dataset of affective face videos for investigation of emotional facial dynamics as a soft biometric for person identification.
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| Title: | MYFED: a dataset of affective face videos for investigation of emotional facial dynamics as a soft biometric for person identification. |
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| Authors: | Saracbasi, Zeynep Nur1, zeynepnursaracbasi@gmail.com, Eroglu Erdem, Cigdem2, Taskiran, Murat3, Kahraman, Nihan3 |
| Source: | Machine Vision & Applications; Jan2025, Vol. 36 Issue 1, p1-15, 15p |
| 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: 181104718 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=181104718 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00138-024-01625-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Titles: – TitleFull: MYFED: a dataset of affective face videos for investigation of emotional facial dynamics as a soft biometric for person identification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Saracbasi, Zeynep Nur – PersonEntity: Name: NameFull: Eroglu Erdem, Cigdem – PersonEntity: Name: NameFull: Taskiran, Murat – PersonEntity: Name: NameFull: Kahraman, Nihan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09328092 Numbering: – Type: volume Value: 36 – Type: issue Value: 1 Titles: – TitleFull: Machine Vision & Applications Type: main |
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