Incorporating Facial Features into a Multi-Channel Gesture Recognition System for the Interpretation of Irish Sign Language Sequences
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.
Cite
Text
Kelly et al. "Incorporating Facial Features into a Multi-Channel Gesture Recognition System for the Interpretation of Irish Sign Language Sequences." IEEE/CVF International Conference on Computer Vision Workshops, 2009. doi:10.1109/ICCVW.2009.5457524Markdown
[Kelly et al. "Incorporating Facial Features into a Multi-Channel Gesture Recognition System for the Interpretation of Irish Sign Language Sequences." IEEE/CVF International Conference on Computer Vision Workshops, 2009.](https://mlanthology.org/iccvw/2009/kelly2009iccvw-incorporating/) doi:10.1109/ICCVW.2009.5457524BibTeX
@inproceedings{kelly2009iccvw-incorporating,
title = {{Incorporating Facial Features into a Multi-Channel Gesture Recognition System for the Interpretation of Irish Sign Language Sequences}},
author = {Kelly, Daniel and Delannoy, Jane Reilly and Donald, John Mc and Markham, Charles},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
year = {2009},
pages = {1977-1984},
doi = {10.1109/ICCVW.2009.5457524},
url = {https://mlanthology.org/iccvw/2009/kelly2009iccvw-incorporating/}
}