A non-anatomical graph structure for boundary detection in continuous sign language

Abstract Recently, the challenge of the boundary detection of isolated signs in a continuous sign video has been studied by researchers. To enhance the model performance, replace the handcrafted feature extractor, and also consider the hand structure in these models, we propose a deep learning-based...

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Bibliographic Details
Main Authors: Razieh Rastgoo, Kourosh Kiani, Sergio Escalera
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-11598-3
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