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Vibration-based terrain classification for electric powered wheelchairs

Coyle, E and Collins, EG and DuPont, E and Dan, D and Hongwu, W and Cooper, RA and Grindle, G (2008) Vibration-based terrain classification for electric powered wheelchairs. In: UNSPECIFIED UNSPECIFIED, 139 - 144. ISBN 9780889867406

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Automated terrain classification for electric powered wheelchairs (EPWs) has two primary motivations. First, certain terrains (e.g., sand and gravel) make wheelchair mobility more difficult. To alleviate this problem the wheelchair control system can be manually tuned for maximum speeds and/or accelerations to help adapt to various terrains. Terrain classification can then be used to automate the switch from one control mode to another. Second, terrain classification can help yield a better understanding of the surfaces traversed by various groups of wheelchair users. This can provide the data needed to develop wheelchairs geared to specific groups of users. This paper presents an algorithm for vibration-based terrain classification on EPWs. This algorithm has been shown to be highly accurate in offline analysis of experimental data. Future work will stress online implementation and algorithm improvements.


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Item Type: Book Section
Status: Published
CreatorsEmailPitt UsernameORCID
Coyle, E
Collins, EG
DuPont, E
Dan, D
Hongwu, W
Grindle, Gggg3@pitt.eduGGG3
ContributionContributors NameEmailPitt UsernameORCID
EditorCooper, Rory Arcooper@pitt.eduRCOOPERUNSPECIFIED
Centers: Other Centers, Institutes, Offices, or Units > Human Engineering Research Laboratories
Date: 1 December 2008
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Proceedings of the 4th IASTED International Conference on Telehealth and Assistive Technologies, Telehealth/AT 2008
Page Range: 139 - 144
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: School of Health and Rehabilitation Sciences > Rehabilitation Science and Technology
Refereed: Yes
ISBN: 9780889867406
Date Deposited: 26 Nov 2012 19:45
Last Modified: 02 Feb 2019 16:57


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