loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Giovanni Saggio 1 ; Francesco Cavrini 2 and Franco Di Paolo 1

Affiliations: 1 University of Rome “Tor Vergata”, Italy ; 2 Captiks S.r.l., Italy

ISBN: 978-989-758-157-1

Keyword(s): Visual Signalling, Sensory Glove, SVM.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Support Vector Machines and Applications ; Theory and Methods

Abstract: An electronic demonstrator was designed and developed to automatically interpret the signalman’s arm-and-hand visual signals. It was based on an “extended” sensory glove, which is a glove equipped with sensors to measure fingers/wrist/forearm movements, an electronic circuitry to acquire/condition/feed measured data to a personal computer, SVM based routines to classify the visual signals, and a graphical interface to represent classified data. The aim was to furnish to the Italian Aircraft Force a tool for ground-to-ground or ground-to-air communication, which can be independent from the full view of the vehicle drivers or aircraft pilots, and which can provide information redundancy to improve airport security.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.206.238.77

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Saggio, G.; Cavrini, F. and Di Paolo, F. (2015). Inedited SVM Application to Automatically Tracking and Recognizing Arm-and-Hand Visual Signals to Aircraft. In Proceedings of the 7th International Joint Conference on Computational Intelligence - NCTA, (ECTA 2015) ISBN 978-989-758-157-1, pages 157-162. DOI: 10.5220/0005630801570162

@conference{ncta15,
author={Giovanni Saggio. and Francesco Cavrini. and Franco {Di Paolo}.},
title={Inedited SVM Application to Automatically Tracking and Recognizing Arm-and-Hand Visual Signals to Aircraft},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - NCTA, (ECTA 2015)},
year={2015},
pages={157-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005630801570162},
isbn={978-989-758-157-1},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - NCTA, (ECTA 2015)
TI - Inedited SVM Application to Automatically Tracking and Recognizing Arm-and-Hand Visual Signals to Aircraft
SN - 978-989-758-157-1
AU - Saggio, G.
AU - Cavrini, F.
AU - Di Paolo, F.
PY - 2015
SP - 157
EP - 162
DO - 10.5220/0005630801570162

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.