Abstract In the field of machine translation, significant progress has been made by using statistical methods. In this paper we suggest a statistical machine translation system for Sign Language and written language, especially for the language pair German Sign Language (DGS) and German. After introducing the system’s architecture, statistical machine translation in general and notation systems...

This chapter covers the key aspects of Sign Language Recognition (SLR), starting with a brief introduction to the motivations and requirements, followed by a précis of sign linguistics and their impact on the field. The types of data available and the relative merits are explored allowing examination of the features which can be extracted. Classifying the manual aspects of sign (similar to gest...

In this work, many ways of communications are used between human and computer, while using gesture is considered to be one of the most natural way in a virtual reality system. Because of its intuitiveness and its capability of helping the hearing impaired or speaking impaired, we develop a gesture recognition system. The Hand Talk glove is a normal, cloth driving glove fitted with flex sensors....

We have developed the Hand Motion Understanding (HMU) system that understands static and dynamic signs of the Australian Sign Language (Auslan). The HMU system uses a visual 3D hand tracker for motion sensing, and an adaptive fuzzy expert system for classification of the signs. This paper presents the hand tracker that extracts 3D hand configuration data with 21 degrees-of-freedom (DOFs) from a...

Sign languages, which use the hands and arms as articulators, are the natural languages of deaf people. Research indicates that sign, like speech, can break down at the level of motor control, in the context of a movement disorder such as Parkinson disease (PD).1 This article describes the first known case of a deaf sign language user with progressive supranuclear palsy (PSP). PSP affects the r...

The Spanish Sign Language Dictionary (DILSE) is one of the first truly bilingual (Spanish Sign Language-Spanish) electronic dictionaries for the deaf community. The properties of this format are perfectly matched to a visual language such as sign language, which uses space as a means of expression. Additionally, two-way searches for word entries are possible from either Spanish or signs. The si...

Our goal here is to recognize a sign language measured from wearable sensor gloves. A sign language is expressed as a sequence of gestural patterns to convey a meaning. Hidden Markov models (HMMs) have been shown to be successful in temporal pattern recognition, such as speech, handwriting, and gesture recognition [4]. In this project, we investigate how well HMMs can perform when applied to si...

Nowadays, the evolution of technology and the increasing use of computers gave the opportunity for developing new methods of education of deaf individuals and sign language interpreters. The e-learning environments that have been developed for the education of sign language provide web-based courses, designed to effectively teach to anyone the Sign Language. Recognizing the difficulties and bar...