Challenges for Linguistically-Driven Computer-Based Sign Recognition
  from Continuous Signing for American Sign Language
Carol Neidle
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.