Title:
Non-contact versus contact-based sensing methodologies for in-home upper arm robotic rehabilitation
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) | |
relation.isAuthorOfPublication | 6d77e175-105c-4b0b-9548-31f20e60e20a | |
relation.isOrgUnitOfPublication | 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c | |
relation.isOrgUnitOfPublication | 66259949-abfd-45c2-9dcc-5a6f2c013bcf |
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