Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/93187
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. | URI: | https://hdl.handle.net/10316/93187 | DOI: | 10.5281/zenodo.4553390 | Rights: | openAccess |
Appears in Collections: | FCTUC Eng.Electrotécnica - Artigos em Livros de Actas |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
full-text.pdf | full-text | 65.14 kB | Adobe PDF | View/Open |
Page view(s)
215
checked on Oct 8, 2024
Download(s)
55
checked on Oct 8, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.