Non-contact versus contact-based sensing methodologies for in-home upper arm robotic rehabilitation

dc.contributor.author Howard, Ayanna M. en_US
dc.contributor.author Brooks, Douglas Antwonne en_US
dc.contributor.author Brown, Edward en_US
dc.contributor.author Gebregiorgis, Adey en_US
dc.contributor.author Chen, Yu-ping en_US
dc.contributor.corporatename Georgia Institute of Technology. Human-Automation Systems Lab en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.contributor.corporatename Georgia Institute of Technology. Institute for Robotics and Intelligent Machines en_US
dc.contributor.corporatename Rochester Institute of Technology. Dept. of Electrical Engineering en_US
dc.contributor.corporatename Georgia State University. Dept. of Physical Therapy en_US
dc.date.accessioned 2013-12-03T21:30:57Z
dc.date.available 2013-12-03T21:30:57Z
dc.date.issued 2013-06
dc.description ©2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. en_US
dc.description Presented at the 2013 International Conference on Rehabilitation Robotics (ICORR), Seattle, WA, June 2013. en_US
dc.description DOI: 10.1109/ICORR.2013.6650487 en_US
dc.description.abstract In recent years, robot-assisted rehabilitation has gained momentum as a viable means for improving outcomes for therapeutic interventions. Such therapy experiences allow controlled and repeatable trials and quantitative evaluation of mobility metrics. Typically though these robotic devices have been focused on rehabilitation within a clinical setting. In these traditional robot-assisted rehabilitation studies, participants are required to perform goal-directed movements with the robot during a therapy session. This requires physical contact between the participant and the robot to enable precise control of the task, as well as a means to collect relevant performance data. On the other hand, non-contact means of robot interaction can provide a safe methodology for extracting the control data needed for in-home rehabilitation. As such, in this paper we discuss a contact and non-contact based method for upper-arm rehabilitation exercises that enables quantification of upper-arm movements. We evaluate our methodology on upper-arm abduction/adduction movements and discuss the advantages and limitations of each approach as applied to an in-home rehabilitation scenario. en_US
dc.identifier.doi 10.1109/ICORR.2013.6650487
dc.identifier.isbn 978-1-4673-6022-7
dc.identifier.issn 1945-7898
dc.identifier.uri http://hdl.handle.net/1853/49763
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers en_US
dc.subject Robotic rehabilitation en_US
dc.subject Vision-based assessment en_US
dc.subject EMG measurements en_US
dc.subject Therapeutic robotics en_US
dc.title Non-contact versus contact-based sensing methodologies for in-home upper arm robotic rehabilitation en_US
dc.type Text
dc.type.genre Proceedings
dc.type.genre Post-print
dspace.entity.type Publication
local.contributor.author Howard, Ayanna M.
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
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relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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