Sign Languages are the native language for the large cultural group of the Deaf. Studies show that reading/writing skills of Deaf individuals is significantly lower compared to hearing people which puts Deaf people at a severe disadvantage in many contexts, including education, work and internet.

Research in this junior research group aims at developing signing avatars that reach comprehensibility rates of 80-90% and that can be flexibly deployed (web, mobile, 3D displays). This involves the creation of notation systems for nonmanual features and prosodic aspects, the implementation of animation methods that produce natural looking signs and the systematic validation of output quality using comprehensibility tests. This requires close contact with and the direct involvement of Deaf people for advise, quality control and validation tests. The research outcome will encompass novel notations, flexible animation tools and proven validation methods. This will advance the state of the art in sign language synthesis, facilitate general research in sign linguistics and pave the way for concrete accessibility applications for the Deaf.