An electronic demonstrator was designed and developed to automatically interpret the signalman's arm-andhand 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.
Saggio, G., Francesco, C., 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 (IJCCI 2015) - Volume 3: NCTA (pp.157-162). Lisbon : SciTePress.
Inedited SVM application to automatically tracking and recognizing arm-and-hand visual signals to aircraft
SAGGIO, GIOVANNI;DI PAOLO, FRANCO
2015-01-01
Abstract
An electronic demonstrator was designed and developed to automatically interpret the signalman's arm-andhand 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.