ARTIFICIAL NEURAL NETWORKS BASED SYMBOLIC GESTURE INTERFACE

C. Iacopino, Anna Montesanto, Paola Baldassarri, A. F. Dragoni, P. Puliti

2008

Abstract

The purpose of the developed system is the realization of a gesture recognizer, applied to a user interface. We tried to get fast and easy software for user, without leaving out reliability and using instruments available to common user: a PC and a webcam. The gesture detection is based on well-known artificial vision techniques, as the tracking algorithm by Lucas and Kanade. The paths, opportunely selected, are recognized by a double layered architecture of multilayer perceptrons. The realized system is efficiency and has a good robustness, paying attention to an adequate learning of gesture vocabulary both for the user and for system.

References

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Paper Citation


in Harvard Style

Iacopino C., Montesanto A., Baldassarri P., F. Dragoni A. and Puliti P. (2008). ARTIFICIAL NEURAL NETWORKS BASED SYMBOLIC GESTURE INTERFACE . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008) ISBN 978-989-8111-60-9, pages 364-369. DOI: 10.5220/0001932803640369


in Bibtex Style

@conference{sigmap08,
author={C. Iacopino and Anna Montesanto and Paola Baldassarri and A. F. Dragoni and P. Puliti},
title={ARTIFICIAL NEURAL NETWORKS BASED SYMBOLIC GESTURE INTERFACE},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)},
year={2008},
pages={364-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001932803640369},
isbn={978-989-8111-60-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)
TI - ARTIFICIAL NEURAL NETWORKS BASED SYMBOLIC GESTURE INTERFACE
SN - 978-989-8111-60-9
AU - Iacopino C.
AU - Montesanto A.
AU - Baldassarri P.
AU - F. Dragoni A.
AU - Puliti P.
PY - 2008
SP - 364
EP - 369
DO - 10.5220/0001932803640369