Mobility Metrics for Manual Wheelchair Use in Everyday Life

Lopez, Ricardo A.; Sonenblum, Sharon Eve; Sprigle, Stephen

Title:

Mobility Metrics for Manual Wheelchair Use in Everyday Life

dc.contributor.author	Lopez, Ricardo A.
dc.contributor.author	Sonenblum, Sharon Eve
dc.contributor.author	Sprigle, Stephen
dc.contributor.corporatename	Georgia Institute of Technology. Center for Assistive Technology and Environmental Access
dc.date.accessioned	2012-02-02T22:15:29Z
dc.date.available	2012-02-02T22:15:29Z
dc.date.issued	2010-06
dc.description	Presented at the RESNA Annual Meeting. 2010. Las Vegas, Nevada.	en_US
dc.description.abstract	In this study, a method for the robust detection of manual wheelchair movement with accelerometer-based data logging is used to obtain metrics of wheelchair mobility that complement mean- and total-distance-only based measurements. It is found that these metrics, that include distance, time and number of activity bouts, provide better understanding of everyday use of manual wheelchairs by shedding more light into how users operate their wheelchairs in their daily lives.	en_US
dc.identifier.uri	http://hdl.handle.net/1853/42351
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.relation.ispartofseries	Rehabilitation Engineering and Assistive Technology Society of North America Annual Conference ; 2010
dc.subject	Activities of daily living	en_US
dc.subject	Mobility	en_US
dc.subject	Rehabilitation	en_US
dc.subject	Wheelchair	en_US
dc.title	Mobility Metrics for Manual Wheelchair Use in Everyday Life	en_US
dc.type	Text
dc.type.genre	Paper
dc.type.genre	Poster
dspace.entity.type	Publication
local.contributor.author	Sprigle, Stephen
local.contributor.corporatename	College of Design
local.contributor.corporatename	Center for Inclusive Design and Innovation
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relation.isOrgUnitOfPublication	c997b6a0-7e87-4a6f-b6fc-932d776ba8d0
relation.isOrgUnitOfPublication	43e3426e-fd8a-416d-958d-f6627e855303