Inedited SVM Application to Automatically Tracking and Recognizing Arm-and-Hand Visual Signals to Aircraft
Giovanni Saggio, Francesco Cavrini, Franco Di Paolo · 2015
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.