Book Chapter


Charles Markham
John McDonald
Jane Reilly Delannoy
Daniel Kelly


Computer Science

channel hidden markov model gesture recognition sign language recognition system head movements irish sign language networks sequences

Incorporating Facial Features into a Multi-Channel Gesture Recognition System for the Interpretation of Irish Sign Language Sequences (2009)

Abstract In this paper we present a novel gesture recognition system for the interpretation of Irish Sign Language sequences which incorporates manual and non-manual information. We implement a set of independent Hidden Markov Model networks to recognize hand gestures, head movements and facial features into a single framework for interpreting Irish Sign Language. This framework is not specific to any particular type of gesture and we demonstrate this by showing that manual and non manual signals can be robustly spotted and classified from with continuous sign sequences.
Collections Ireland -> Maynooth University -> Type = Book Section
Ireland -> Maynooth University -> Academic Unit = Faculty of Science and Engineering
Ireland -> Maynooth University -> Status = Published
Ireland -> Maynooth University -> Open Access DRIVERset
Ireland -> Maynooth University -> Academic Unit = Faculty of Science and Engineering: Computer Science

Full list of authors on original publication

Charles Markham, John McDonald, Jane Reilly Delannoy, Daniel Kelly

Experts in our system

Charles Markham
Maynooth University
Total Publications: 64
John McDonald
Maynooth University
Total Publications: 79
Daniel Kelly
University College Cork
Total Publications: 17