Sign language recognition
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 …
introduction to the motivations and requirements, followed by a précis of sign linguistics and …
[PDF][PDF] Sign language recognition using sub-units
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 …
types of sub-units for consideration; those learnt from appearance data as well as those …
[PDF][PDF] Multi-layered gesture recognition with Kinect.
This paper proposes a novel multi-layered gesture recognition method with Kinect. We
explore the essential linguistic characters of gestures: the components concurrent character …
explore the essential linguistic characters of gestures: the components concurrent character …
[PDF][PDF] Counting and exploring sizes of Markov equivalence classes of directed acyclic graphs
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 …
cannot identify the underlying DAG, but can potentially obtain a Markov equivalence class …
[PDF][PDF] Search-by-example in multilingual sign language databases
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 …
developed 1000-concept sign lexicon for four national sign languages (GSL, DGS, LSF …
independent hand gesture recognition with Kinect
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 …
recognition research. Aiming at the effective, accurate and freely used hand gesture …
[PDF][PDF] Perturbed message passing for constraint satisfaction problems
S Ravanbakhsh, R Greiner - The Journal of Machine Learning Research, 2015 - jmlr.org
We introduce an efficient message passing scheme for solving Constraint Satisfaction
Problems (CSPs), which uses stochastic perturbation of Belief Propagation (BP) and Survey …
Problems (CSPs), which uses stochastic perturbation of Belief Propagation (BP) and Survey …
Discriminating features learning in hand gesture classification
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 …
recognition (HGR) research. In this study, the authors propose a discriminating features …
A Kinect-based system for Arabic sign language to speech translation
M Fraiwan, N Khasawneh, H Ershedat… - International …, 2015 - inderscienceonline.com
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 …
pervasive technology. Moreover, it is quite common to experience all kinds of innovations on …
A novel mathematical modeling and parameterization for sign language classification
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 …
a challenging one. This paper presents empirical analysis of different mathematical models …