Skeleton‐Based Hand Gesture Recognition: Backgrounds, Datasets, Methods, Applications, Future Trends, and Challenges.
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| Title: | Skeleton‐Based Hand Gesture Recognition: Backgrounds, Datasets, Methods, Applications, Future Trends, and Challenges. |
|---|---|
| Authors: | Li, Junhui1, Wang, Linfang1, Ni, Sike1, Al‐qaness, Mohammed A. A.1, alqaness@zjnu.edu.cn |
| Source: | WIREs: Data Mining & Knowledge Discovery; Jun2026, Vol. 16 Issue 2, p1-29, 29p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194870223 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/widm.70092 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 29 StartPage: 1 Titles: – TitleFull: Skeleton‐Based Hand Gesture Recognition: Backgrounds, Datasets, Methods, Applications, Future Trends, and Challenges. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Junhui – PersonEntity: Name: NameFull: Wang, Linfang – PersonEntity: Name: NameFull: Ni, Sike – PersonEntity: Name: NameFull: Al‐qaness, Mohammed A. A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19424787 Numbering: – Type: volume Value: 16 – Type: issue Value: 2 Titles: – TitleFull: WIREs: Data Mining & Knowledge Discovery Type: main |
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