Publication
Sign language recognition involves modeling of multichannel information such as, hand shapes, hand movements. This requires also sufficient sign language specific data. This is a challenge as sign languages are inherently under-resourced. In the literature, it has been shown that hand shape information can be estimated by pooling resources from multiple sign languages. Such a capability does not exist yet for modeling hand movement information. In this paper, we develop a multilingual sign language approach, where hand movement modeling is also done with target sign language independent data by derivation of hand movement subunits. We validate the proposed approach through an investigation on Swiss German Sign Language, German Sign Language and Turkish Sign Language, and demonstrate that sign language recognition systems can be effectively developed by using multilingual sign language resources.