E-Learning through Single Hand and Two Hand Sign Language

Hand in Hand: Automatic Sign Language to English Translation

In this paper, we describe the first data-driven automatic sign-languageto-speech translation system. While both sign language (SL) recognition and translation techniques exist, both use an intermediate notation system not directly intelligible for untrained users. We combine a SL recognizing framework with a state-of-the-art phrase-based machine translation (MT) system, using corpora of both A...

Applying mean shift and motion detection approaches to hand tracking in sign language

Hand gesture recognition is very important to communicate in sign language. In this paper, an effective object tracking and hand gesture recognition method is proposed. This method is combination of two well-known approaches, the mean shift and the motion detection algorithm. The mean shift algorithm can track objects based on the color, then when hand passes the face occlusion happens. Several...

Hand Gesture Recognition using Sign Language

Sign Language is mostly used by deaf and dumb people. In order to improve the man machine interaction, sign language can be used as a way for communicating with machines. Most of the applications which enable sign language processing are using data gloves and other devices for interacting with computers. This restricts the freedom of users. So to avoid this, this system we capture live video st...

Alien hand sign or alien hand syndrome?

Head Tracking and Hand Segmentation during Hand over Face Occlusion in Sign Language

This paper presents a method to accurately segment the hand over the face. The similarity of colours and the important variability of the hand shape make it challenging. We propose a method based on the combination of two features: pixel colour and edges orientation. First, a specific skin model is used to find, before occlusion, the face position and the face template. Then, during occlusion t...