DocumentCode
2628957
Title
Semi-autonomous competency assessment of powered mobility device users
Author
Miro, Jaime Valls ; Black, Ross ; De Bruijn, Freek ; Dissanayake, Gamini
Author_Institution
Fac. of Eng. & IT, Univ. of Technol. Sydney (UTS), Sydney, NSW, Australia
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
1
Lastpage
6
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.
Keywords
biomedical equipment; cameras; gait analysis; handicapped aids; wheelchairs; RGB camera; inertial measurement unit; laser range finder; mobile aids; powered mobility device; semiautonomous competency assessment; stand-alone sensor algorithms; stand-alone sensor package; walking aid; wheelchair; Australia; Hospitals; Motorcycles; Robot sensing systems; Software; Trajectory; Wheelchairs; Algorithms; Humans; Self-Help Devices; Walking; Wheelchairs;
fLanguage
English
Publisher
ieee
Conference_Titel
Rehabilitation Robotics (ICORR), 2011 IEEE International Conference on
Conference_Location
Zurich
ISSN
1945-7898
Print_ISBN
978-1-4244-9863-5
Electronic_ISBN
1945-7898
Type
conf
DOI
10.1109/ICORR.2011.5975364
Filename
5975364
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