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
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.