Semi-autonomous competency assessment of powered mobility device users

Miro, JV; Black, R; De Bruijn, F; Dissanayake, G

Semi-autonomous competency assessment of powered mobility device users

Miro, JV

Black, R De Bruijn, F Dissanayake, G

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Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Rehabilitation Robotics, 2011
Issue Date:: 2011-11-02

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Field	Value	Language
dc.contributor.author	Miro, JV https://orcid.org/0000-0002-0083-7797	en_US
dc.contributor.author	Black, R	en_US
dc.contributor.author	De Bruijn, F	en_US
dc.contributor.author	Dissanayake, G https://orcid.org/0000-0002-7992-0680	en_US
dc.date.issued	2011-11-02	en_US
dc.identifier.citation	IEEE International Conference on Rehabilitation Robotics, 2011	en_US
dc.identifier.isbn	9781424498628	en_US
dc.identifier.issn	1945-7898	en_US
dc.identifier.uri	http://hdl.handle.net/10453/19137
dc.description.abstract	This paper describes a stand-alone sensor package and algorithms for aiding the assessment by an occupational therapist whether a person has the capacity to safely and effectively operate a powered mobility device such as a walking aid or a wheelchair. The sensor package employed consists of a laser range finder, an RGB camera and an inertial measurement unit that can be attached to any mobility device with minimal modifications. Algorithms for capturing the data received by the sensor package and for generating the map of the environment as well as the trajectory of the mobility device have been developed. Such information presents occupational therapists with the capability to provide a quantitative assessment of whether patients are ready to be safely deployed with mobile aids for their daily activities. Preliminary evaluation of the sensor package and associated algorithms based on experiments, conducted at the premises of the Prince of Wales Hospital in Sydney, are presented. © 2011 IEEE.	en_US
dc.relation.ispartof	IEEE International Conference on Rehabilitation Robotics	en_US
dc.relation.isbasedon	10.1109/ICORR.2011.5975364	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Walking	en_US
dc.subject.mesh	Self-Help Devices	en_US
dc.subject.mesh	Wheelchairs	en_US
dc.subject.mesh	Algorithms	en_US
dc.title	Semi-autonomous competency assessment of powered mobility device users	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Zurich, Switzerland	en_US
dc.location.activity	ETH Zurich, Zurich, 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	open_access
pubs.publication-status	Published	en_US

Abstract:

This paper describes a stand-alone sensor package and algorithms for aiding the assessment by an occupational therapist whether a person has the capacity to safely and effectively operate a powered mobility device such as a walking aid or a wheelchair. The sensor package employed consists of a laser range finder, an RGB camera and an inertial measurement unit that can be attached to any mobility device with minimal modifications. Algorithms for capturing the data received by the sensor package and for generating the map of the environment as well as the trajectory of the mobility device have been developed. Such information presents occupational therapists with the capability to provide a quantitative assessment of whether patients are ready to be safely deployed with mobile aids for their daily activities. Preliminary evaluation of the sensor package and associated algorithms based on experiments, conducted at the premises of the Prince of Wales Hospital in Sydney, are presented. © 2011 IEEE.

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http://hdl.handle.net/10453/19137