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Applications of Advanced Control Interface Technology for Individuals with Upper Limb Impairments

Dicianno, Brad (2009) Applications of Advanced Control Interface Technology for Individuals with Upper Limb Impairments. Master's Thesis, University of Pittsburgh. (Unpublished)

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Abstract

There are likely a quarter of a million individuals who cannot use power wheelchairs because of an inability to use control interfaces. There are likely even more who desire computer access and whose impairments preclude them from being effective users. Historically, isometric controls were thought to have limited application for individuals with movement disorders due to their sensitivity to unintentional movements. The work in this thesis is a series of studies that demonstrate the potential of an alternative method of control—isometric technology. Our work shows that individuals with upper limb impairments can perform just as well with isometric controls as with conventional proportional control, and in some cases individuals with tremor actually perform better with isometric controls. We also introduce work on adaptive control algorithms that can correct errors in movement made with control interfaces and improve performance.

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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Dicianno, Braddicianno@pitt.eduDICIANNO
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairCooper, Roryrcooper@pitt.eduRCOOPER
Committee MemberSpaeth, Donaldspaethd@herlpitt.org
Committee MemberPearlman, Jonpearlmanj@herlpitt.org
Date: 28 January 2009
Date Type: Completion
Defense Date: 13 November 2008
Approval Date: 28 January 2009
Submission Date: 13 November 2008
Access Restriction: 5 year -- Restrict access to University of Pittsburgh for a period of 5 years.
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Bioengineering
Degree: MSBeng - Master of Science in Bioengineering
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: algorithm; filter; joystick; rehabilitation; tremor; wheelchair
Other ID: http://etd.library.pitt.edu/ETD/available/etd-11132008-145915/, etd-11132008-145915
Date Deposited: 10 Nov 2011 20:04
Last Modified: 15 Nov 2016 13:51
URI: http://d-scholarship.pitt.edu/id/eprint/9658

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