Challenges for linguistically-driven computer-based sign recognition from continuous signing for American Sign Language
OA Version
Citation
C. Neidle. 2023. "Challenges for Linguistically-Driven Computer-Based Sign Recognition from Continuous Signing for American Sign Language"
Abstract
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.
Description
License
© November 2023, Boston University