We study the problem of recognizing video sequences of fingerspelled letters in American
Sign Language (ASL). Fingerspelling comprises a significant but relatively understudied part …

This paper proposes a novel technique to deal with pose variations in 3D object recognition.
This technique uses pulse-coupled neural network (PCNN) for image features generation …

Sign languages represent an interesting niche for statistical machine translation that is
typically hampered by the scarceness of suitable data, and most papers in this area apply …

Many previous researchers have tried developing sign languages recognition systems in
general and Arabic sign language specifically. They succeeded to achieve acceptable …

A methodology for developing an advanced communications system for the Deaf in a new
domain is presented in this paper. This methodology is a user-centred design approach …

The ability to convey information is a fundamental property of communicative signals. For
sign languages, which are overtly produced with multiple, completely visible articulators, the …

This paper describes a preprocessing module for improving the performance of a Spanish
into Spanish Sign Language (Lengua de Signos Española: LSE) translation system when …

Many feature generation methods have been developed for object recognition. Some of
these methods succeeded in achieving invariance against object translation, rotation and …

Abstract Several Sign Language (SL) systems have been developed using various
technologies: Kinect, armbands, and gloves. Majority of these studies never considered user …

This paper describes the development of LSESpeak, a spoken Spanish generator for Deaf
people. This system integrates two main tools: a sign language into speech translation …