Preprocessing Mediapipe Keypoints with Keypoint Reconstruction and Anchors for Isolated Sign Language Recognition - ACL Anthology

This is an internal, incomplete preview of a proposed change to the ACL Anthology. For efficiency reasons, we generate only three BibTeX files per volume, and the preview may be incomplete in other ways, or contain mistakes. Do not treat this content as an official publication.

Preprocessing Mediapipe Keypoints with Keypoint Reconstruction and Anchors for Isolated Sign Language Recognition

Kyunggeun Roh, Huije Lee, Eui Jun Hwang, Sukmin Cho, Jong C. Park

Anthology ID:: 2024.signlang-1.36
Volume:: Proceedings of the LREC-COLING 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources
Month:: May
Year:: 2024
Address:: Torino, Italia
Editors:: Eleni Efthimiou, Stavroula-Evita Fotinea, Thomas Hanke, Julie A. Hochgesang, Johanna Mesch, Marc Schulder
Venue:: SignLang
SIG:
Publisher:: ELRA and ICCL
Note:
Pages:: 323–334
Language:
URL:: https://aclanthology.org/2024.signlang-1.36
DOI:
Bibkey:
Cite (ACL):: Kyunggeun Roh, Huije Lee, Eui Jun Hwang, Sukmin Cho, and Jong C. Park. 2024. Preprocessing Mediapipe Keypoints with Keypoint Reconstruction and Anchors for Isolated Sign Language Recognition. In Proceedings of the LREC-COLING 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources, pages 323–334, Torino, Italia. ELRA and ICCL.
Cite (Informal):: Preprocessing Mediapipe Keypoints with Keypoint Reconstruction and Anchors for Isolated Sign Language Recognition (Roh et al., SignLang 2024)
Copy Citation:
PDF:: https://preview.aclanthology.org/add_acl24_videos/2024.signlang-1.36.pdf