DocumentCode :
567251
Title :
Activity recognition from the interactions between an assistive robotic walker and human users
Author :
Patel, Mitesh ; Miro, Jaime Valls ; Dissanayake, Gamini
Author_Institution :
ARC Center of Excellence for Autonomous Syst., Univ. of Technol. Sydney, Sydney, NSW, Australia
fYear :
2011
fDate :
8-11 March 2011
Firstpage :
221
Lastpage :
222
Abstract :
Detection of individuals´ intention from a sequence of actions is an open and complex problem. In this paper we present a smart walker as mobility aid which can interpret the users´ behaviour patterns to recognize their intentions and consequently act as an intelligent assistant. The result of the experiments performed in this paper demonstrates the potential of dynamic bayesian networks (DBN), in relation to their dynamic and unsupervised nature, for realistic human-robot interaction modelling.
Keywords :
belief networks; gesture recognition; human-robot interaction; mobile robots; DBN; activity recognition; assistive robotic walker; behaviour patterns; dynamic Bayesian networks; human users; human-robot interaction modelling; intelligent assistant; smart walker; unsupervised nature; Accuracy; Bayesian methods; Computational modeling; Humans; Legged locomotion; Probabilistic logic; Activity Recognition; Mobility Assistive Robotics; Probabilistic Models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Human-Robot Interaction (HRI), 2011 6th ACM/IEEE International Conference on
Conference_Location :
Lausanne
ISSN :
2167-2121
Print_ISBN :
978-1-4673-4393-0
Electronic_ISBN :
2167-2121
Type :
conf
Filename :
6281307
Link To Document :
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