Book Chapter


Charles Markham
John McDonald
Daniel Kelly



sign language recognition movement hand measurement natural language sequences gestures

Recognizing Spatiotemporal Gestures and Movement Epenthesis in Sign Language (2009)

Abstract A novel system for the recognition of spatiotemporal hand gestures used in sign language is presented. While recognition of valid sign sequences is an important task in the overall goal of machine recognition of sign language, recognition of movement epenthesis is an important step towards continuous recognition of natural sign language. We propose a framework for recognizing valid sign segments and identifying movement epenthesis. Experiments show our proposed system performs well when classifying eight different signs and identifying 100 different types of movement epenthesis. A ROC analysis of the systems classifications performance showed an area under the curve measurement of 0.949.
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, 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