Please use this identifier to cite or link to this item:
Title: Human reach-to-grasp generalization strategies: a Bayesian approach
Authors: Faria, Diego 
Martins, Ricardo Filipe Alves 
Dias, Jorge 
Issue Date: 28-Jul-2009
Serial title, monograph or event: RSS 2009 - Robotics: Science and Systems Session - Workshop: Understanding the Human Hand for Advancing Robotic Manipulation
Abstract: In this work we present a general structure of an initial Bayesian framework to describe the mechanisms underlying the human strategies that define the appropriate characteristics of the reach-to-grasp movements to specific contexts, objects and how these strategies can be extended and replicated to other contexts and objects. The Bayesian framework uses information extracted from data about the pose of the hand, fingers and head acquired by a magnetic tracker device, finger flexure data acquired by a data glove, as well as, data about eye gaze and saccade movements of the subject.
DOI: 10.5281/zenodo.4553390
Rights: openAccess
Appears in Collections:FCTUC Eng.Electrotécnica - Artigos em Livros de Actas

Files in This Item:
File Description SizeFormat
full-text.pdffull-text65.14 kBAdobe PDFView/Open
Show full item record

Page view(s)

checked on May 28, 2024


checked on May 28, 2024

Google ScholarTM




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.