Activity recognition from the interactions between an assistive robotic walker and human users

Patel, M; Miro, JV; Dissanayake, G

Activity recognition from the interactions between an assistive robotic walker and human users

Patel, M Miro, JV

Dissanayake, G

Permalink

Publication Type:: Conference Proceeding
Citation:: HRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction, 2011, pp. 221 - 222
Issue Date:: 2011-04-01

Closed Access

	Filename	Description	Size
	2010003261OK.pdf	Published version	545.91 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Patel, M	en_US
dc.contributor.author	Miro, JV https://orcid.org/0000-0002-0083-7797	en_US
dc.contributor.author	Dissanayake, G https://orcid.org/0000-0002-7992-0680	en_US
dc.date.issued	2011-04-01	en_US
dc.identifier.citation	HRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction, 2011, pp. 221 - 222	en_US
dc.identifier.isbn	9781450305617	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32355
dc.description.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.	en_US
dc.relation.ispartof	HRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction	en_US
dc.relation.isbasedon	10.1145/1957656.1957741	en_US
dc.title	Activity recognition from the interactions between an assistive robotic walker and human users	en_US
dc.type	Conference Proceeding
utslib.for	1099 Other Technology	en_US
dc.location.activity	Lausanne, Switzerland
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/32355