Hmm-based method to overcome spatiotemporal sign language recognition issues

Sign languages (SL) are the most accomplished forms of gestural communication. Therefore, their automatic analysis is a real challenge which is interestingly implied to their lexical and syntactic organization levels. Statements dealing with sign language occupy a significant interest in the Automatic Natural Language Processing (ANLP) domain. In this work, we are dealing with sign language recognition, in particular of French Sign Language (FSL). FSL has its own specificities, such as the simultaneity of several parameters, the important role of the facial expression or movement and the use of space for the proper utterance organization. Our object is to develop a new method based in HMM in order to overcome spatiotemporal sign language recognition issues.