This chapter covers the key aspects of sign-language recognition (SLR), starting with a brief
introduction to the motivations and requirements, followed by a précis of sign linguistics and …

This paper discusses sign language recognition using linguistic sub-units. It presents three
types of sub-units for consideration; those learnt from appearance data as well as those …

This paper proposes a novel multi-layered gesture recognition method with Kinect. We
explore the essential linguistic characters of gestures: the components concurrent character …

When learning a directed acyclic graph (DAG) model via observational data, one generally
cannot identify the underlying DAG, but can potentially obtain a Markov equivalence class …

We describe a prototype Search-by-Example or look-up tool for signs, based on a newly
developed 1000-concept sign lexicon for four national sign languages (GSL, DGS, LSF …

The advent and popularity of Kinect provide new choice and opportunity for hand gesture
recognition research. Aiming at the effective, accurate and freely used hand gesture …

We introduce an efficient message passing scheme for solving Constraint Satisfaction
Problems (CSPs), which uses stochastic perturbation of Belief Propagation (BP) and Survey …

The advent and popularity of Kinect provides a new choice and opportunity for hand gesture
recognition (HGR) research. In this study, the authors propose a discriminating features …

Speech-based smart systems have come to play an increasingly diverse role in today's
pervasive technology. Moreover, it is quite common to experience all kinds of innovations on …

Sign language recognition (SLR) has got wide applicability. SLR system is considered to be
a challenging one. This paper presents empirical analysis of different mathematical models …