Multi-cue temporal modeling for skeleton-based sign language recognition

HIGHLIGHTS

• who: Og-.3exto 0ptu02d8ulcan u00d6zdemir from the Miguel Hernu00e1ndez University of Elche, Spain have published the Article: Multi-cue temporal modeling for skeleton-based sign language recognition, in the Journal: (JOURNAL)
• what: The authors propose a multi-cue SLR architecture utilizing multi-articulatory spatio-temporal information contained in manual and non-manual features of SL, as illustrated in Figure 1. The authors evaluate the methods on two Turkish SL benchmark datasets, BosphorusSign22k (u00d6zdemir et_al, 2020) and AUTSL (Sincan and Keles, 2020), that present different characteristics and challenges. The authors aim to employ a hybrid ST . . .
  

   

  

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