Gesture recognition pertains to recognizing meaningful expressions of motion by a human,
involving the hands, arms, face, head, and/or body. It is of utmost importance in designing an …

Recognizing human activity from a stream of sensory observations is important for a number
of applications such as surveillance and human-computer interaction. Hidden Markov …

One of the most significant differences between automatic sign language recognition (ASLR)
and automatic speech recognition (ASR) is due to the computer vision problems, whereas …

We build word models for American Sign Language (ASL) that transfer between different
signers and different aspects. This is advantageous because one could use large amounts …

In the framework of a research target that aims at integration of sign language technologies
to human-computer interaction applications, creation and annotation of the Greek Sign …

Viewpoint invariance is a grand challenge for sign language recognition. In this paper, we
propose a novel viewpoint invariant method for sign language recognition. The recognition …

This correspondence proposes a complete framework for sign language recognition that
integrates a commonsense engine in order to deal with sentence recognition. The proposed …

This paper addresses gesture recognition under small sample size, where direct use of
traditional classifiers is difficult due to high dimensionality of input space. We propose a …

We studied if and when people detect the beginning of a gesture, in our case a sign in Sign
Language of the Netherlands (SLN), by presenting movie fragments consisting of …

Many interesting human actions involve multiple interacting agents and also have typical
durations. Further, there is an inherent hierarchical organization of these activities. In order …