Hand gesture coding based on experiments using a hand gesture interface device
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Hands gestures recognition, by means of measuring apparatus, can provide a new way of human-computer interaction. Controlling different devices or speaking through a speech synthesizer can be time saving as well as an aid for impaired persons. In this work we performed the classification of 20 different gestures, evaluating three different methodologies: Support Vector Machines, Mahalanobis and Euclidean based classifiers.