A Neural Network Model for a View Independent Extraction of Reach-to-Grasp Action Features

Abstract. The aim of this paper is to introduce a novel, biologically inspired approach to extract visual features relevant for controlling and understanding reachto-grasp actions. One of the most relevant of such features has been found to be the grip-size defined as the index finger-tip - thumb-tip distance. For this reason, in this paper we focus on this feature. The human visual system is naturally able to recognize many hand configurations

• Type: Conference
• Year: 2007
• Where: BVAI
• Authors: Roberto Prevete, Matteo Santoro, Ezio Catanzariti, Giovanni Tessitore
• Keywords: Artificial Intelligence, BVAI 2007, Computational Models, MNS Model, Visual Features