Computer aided human gesture analysis requires a model of gestures, and an acquisition system which builds the representation of the gesture according to this model. In the specific case of computer Vision, those representations are mostly based on primitives described from a perceptual point of view, but some recent issues in Sign language studies propose to use a proprioceptive description of gestures for signs analysis. As it helps to deal with ambiguities in monocular posture reconstruction too, we propose a new representation of the gestures based on angular values of the arm joints based on a single-camera computer vision algorithm.
@inproceedings{lenseigne:04017:sign-lang:lrec,
author = {Lenseigne, Boris and Gianni, Fr{\'e}d{\'e}rick and Dalle, Patrice},
title = {A New Gesture Representation for Sign Language Analysis},
pages = {85--90},
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/04017.pdf}
}