To facilitate the creation of ASL content that can easily be updated or maintained, we have investigated technologies for automating the synthesis of ASL animations from a sparse representation of the message.
this paper has focused on the synthesis of syntactic ASL facial expressions, which are essential to sentence meaning, using a data-driven methodology in which recordings of human ASL signers are used as a basis for generating face and head movements for animation.