Type

Book Chapter

Authors

Charles Markham
John McDonald
Daniel Kelly

Subjects

Computer Science

Topics
dynamic systems hidden markov models motion threshold gestures sign language random fields sign language recognition

Evaluation of Threshold Model HMMs and Conditional Random Fields for Recognition of Spatiotemporal Gestures in Sign Language (2009)

Abstract In this paper we evaluate the performance of Conditional Random Fields (CRF) and Hidden Markov Models when recognizing motion based gestures in sign language. We implement CRF, Hidden CRF and Latent-Dynamic CRF based systems and compare these to a HMM based system when recognizing motion gestures and identifying inter gesture transitions. We implement a extension to the standard HMM model to develop a threshold HMM framework which is specifically designed to identify inter gesture transitions. We evaluate the performance of this system, and the different CRF systems, when recognizing gestures and identifying inter gesture transitions.
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

1
Charles Markham
Maynooth University
Total Publications: 64
 
2
John McDonald
Maynooth University
Total Publications: 79
 
3
Daniel Kelly
University College Cork
Total Publications: 17