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Inedited SVM application to automatically tracking and recognizing arm-and-hand visual signals to aircraft | IEEE Conference Publication | IEEE Xplore

Inedited SVM application to automatically tracking and recognizing arm-and-hand visual signals to aircraft


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,...Show More

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.
Date of Conference: 12-14 November 2015
Date Added to IEEE Xplore: 04 August 2016
ISBN Information:
Conference Location: Lisbon, Portugal

References

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