Enhanced Badminton Stroke Recognition Using Hybrid RGB-Skeleton Features and Ensemble Learning.

Saved in:
Bibliographic Details
Title: Enhanced Badminton Stroke Recognition Using Hybrid RGB-Skeleton Features and Ensemble Learning.
Authors: Asriani, Farida1, faridaasriani1975@mail.ugm.ac.id, Azhari, Azhari1, arisn@ugm.ac.id, Wahyono, Wahyono1, wahyo@mail.ugm.ac.id
Source: Engineering, Technology & Applied Science Research; Feb2026, Vol. 16 Issue 1, p31303-31309, 7p
Database: Applied Science & Technology Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192212576
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Enhanced Badminton Stroke Recognition Using Hybrid RGB-Skeleton Features and Ensemble Learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Asriani%2C+Farida%22">Asriani, Farida</searchLink><relatesTo>1</relatesTo>, <i>faridaasriani1975@mail.ugm.ac.id</i><br /><searchLink fieldCode="AU" term="%22Azhari%2C+Azhari%22">Azhari, Azhari</searchLink><relatesTo>1</relatesTo>, <i>arisn@ugm.ac.id</i><br /><searchLink fieldCode="AU" term="%22Wahyono%2C+Wahyono%22">Wahyono, Wahyono</searchLink><relatesTo>1</relatesTo>, <i>wahyo@mail.ugm.ac.id</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Feb2026, Vol. 16 Issue 1, p31303-31309, 7p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192212576
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.48084/etasr.15586
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 31303
    Titles:
      – TitleFull: Enhanced Badminton Stroke Recognition Using Hybrid RGB-Skeleton Features and Ensemble Learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Asriani, Farida
      – PersonEntity:
          Name:
            NameFull: Azhari, Azhari
      – PersonEntity:
          Name:
            NameFull: Wahyono, Wahyono
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 22414487
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Engineering, Technology & Applied Science Research
              Type: main
ResultId 1