This paper discusses a phonetic model of hand gestures that leads to automatic recognition of isolated gestures of the American Sign Language by means of an electronic instrument. The instrumented part of the system combines an AcceleGlove and a two-link arm skeleton. The model brakes down hand gestures into unique sequences of phonemes called Poses and Movements. Recognition system was trained and tested on volunteers with different hand sizes and signing skills. The overall recognition rate reached 95% on a lexicon of 176 one- handed signs. The phonetic model combined with the recognition algorithm allows recognition of new signs without retraining.
@inproceedings{hernandezrebollar:04018:sign-lang:lrec,
author = {Hernandez-Rebollar, Jose L.},
title = {Phonetic Model for Automatic Recognition of Hand Gestures},
pages = {91--94},
editor = {Streiter, Oliver and Vettori, Chiara},
booktitle = {Proceedings of the {LREC2004} Workshop on the Representation and Processing of Sign Languages: From {SignWriting} to Image Processing. Information techniques and their implications for teaching, documentation and communication},
maintitle = {4th International Conference on Language Resources and Evaluation ({LREC} 2004)},
publisher = {{European Language Resources Association (ELRA)}},
address = {Lisbon, Portugal},
day = {30},
month = may,
year = {2004},
language = {english},
url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/04018.pdf}
}