We present a fully automatic arm and hand tracker that detects joint positions over
continuous sign language video sequences of more than an hour in length. To achieve this …

We propose in this paper a framework for recognizing the sign language alphabet. To
separate hand images from complex backgrounds, we use skin colour and texture attributes …

We introduce a new computational phonetic modeling framework for sign language (SL)
recognition. This is based on dynamic–static statistical subunits and provides sequentiality …

This article presents Gesture Interaction DEsigner (GIDE), an innovative application for
gesture recognition. Instead of recognizing gestures only after they have been entirely …

Decision forests are an increasingly popular tool in computer vision problems. Their
advantages include high computational efficiency, state-of-the-art accuracy and multi-class …

Crowdsourcing is a promising way to reduce the effort of collecting annotations for training
gesture recognition systems. Crowdsourced annotations suffer from” noise” such as …

With the development of data acquisition equipment, more and more modalities become
available for gesture recognition. However, there still exist two critical issues for multimodal …

This paper presents a novel method for computer vision-based static and dynamic hand
gesture recognition. Haar-like feature-based cascaded classifier is used for hand area …

Locating sign language (SL) videos on video sharing sites (eg, YouTube) is challenging
because search engines generally do not use the visual content of videos for indexing …

The Deaf have been denied their natural language for over a hundred years, with dire
consequences for their health, citizenship and culture. Sign Language is the natural …