Current sign language recognition systems are still designed for signer-dependent
operation only and thus suffer from the problem of interpersonal variability in production …

Research in the field of sign language recognition has not yet addressed the problem of
interpersonal variance in large vocabulary on the classification level. Current recognition …

Sign language recognition systems suffer from the problem of signer dependence. In this
letter, we propose a novel method that adapts the original model set to a specific signer with …

Signer adaptation is important for sign language recognition systems because a fixed
system cannot perform well on all kinds of signers. In supervised signer adaptation, the …

We propose a tracking adaptation to recover from early tracking errors in sign language
recognition by optimizing the obtained tracking paths wrt the hypothesized word sequences …

Although facial features are considered to be essential for humans to understand sign
language, no prior research work has yet examined their significance for automatic sign …

The aim of sign language recognition is to provide an efficient and accurate mechanism to
transcribe sign language into text or speech. State-of-the-art sign language recognition …

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 problem …

Abstract Automated Sign Language Recognition (SLR) aims to bridge the communication
gap between the hearing and the hearing disabled. Computer vision and deep learning lie …

In this paper, a sparse coding based framework is proposed for sign language recognition
(SLR), especially for the signer-independent case. To deal with the inter-signer variation, a …