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Title: Challenges for Linguistically-Driven Computer-Based Sign Recognition from Continuous Signing for American Sign Language
There have been recent advances in computer-based recognition of isolated, citation-form signs from video. There are many challenges for such a task, not least the naturally occurring inter- and intra- signer synchronic variation in sign production, including sociolinguistic variation in the realization of certain signs. However, there are several significant factors that make recognition of signs from continuous signing an even more difficult problem. This article presents an overview of such challenges, based in part on findings from a large corpus of linguistically annotated video data for American Sign Language (ASL). Some linguistic regularities in the structure of signs that can boost handshape and sign recognition are also discussed.  more » « less
Award ID(s):
2235405
PAR ID:
10472381
Author(s) / Creator(s):
Publisher / Repository:
arXiv.org
Date Published:
Journal Name:
arXiv.org
ISSN:
2311.00762
Subject(s) / Keyword(s):
Computer Vision and Pattern Recognition Computation and Language / American Sign Language ASL ASLLRP ASLLVD sign recognition continuous signing coarticulation ASL linguistics
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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