In Sign Language recognition, one of the problems is to collect enough training data. Almost all of the statistical methods used in Sign Language Recognition suffer from this prob...
The study of sign languages attempts to create a coherent model that binds the expressive nature of signs conveyed in gestures to a linguistic framework. Gesture modelling offers a...
The MobileASL project aims to increase accessibility by enabling Deaf people to communicate over video cell phones in their native language, American Sign Language (ASL). Real-tim...
Neva Cherniavsky, Anna Cavender, Richard E. Ladner...
Modern wearable computer designs package workstation level performance in systems small enough to be worn as clothing. These machines enable technology to be brought where it is n...
This paper is concerned with a development of a videobased recognition system of continuous sign language. The system aimsfor an automatic signer dependent recognition of sign lan...
Britta Bauer, Hermann Hienz, Karl-Friedrich Kraiss
For the recognition of continuous sign language we analyse whether we can improve the results by explicitly incorporating depth information. Accurate hand tracking for sign languag...
Philippe Dreuw, Pascal Steingrube, Thomas Deselaer...
Hitherto, the major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size. In this paper we present an approach to la...
In literature exist many links to translation of speech into sign language and links to gesturing with avatars. But the author cannot get any link to a visualization of background...
This paper presents an overview of current work on the recognition of sign language and a prototype of a simple editor for a small subset of the Brazilian Sign Language, LIBRAS. Ha...
Abstract. In this paper, a new sign-wise tied mixture HMM (SWTMHMM) is proposed and applied in vision-based sign language recognition (SLR). In the SWTMHMM, the mixture densities o...