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  5. Quantifying prosthetic and intact limb use in upper limb amputees via egocentric video: an unsupervised, at-home study
 
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Quantifying prosthetic and intact limb use in upper limb amputees via egocentric video: an unsupervised, at-home study
File(s)
GoPro Analysis Journal - Final.pdf (3.24 MB)
Accepted version
Author(s)
Spiers, Adam
Cochran, Jillian
Resnik, Linda
Dollar, Aaron
Type
Journal Article
Abstract
Analysis of the manipulation strategies employed by upper-limb prosthetic device users can provide valuable insights into the shortcomings of current prosthetic technology or therapeutic interventions. Typically, this problem has been approached with survey or lab-based studies, whose prehensile-grasp-focused results do not necessarily give accurate representations of daily activity. In this work, we capture prosthesis-user behavior in the unstructured and familiar environments of the participants own homes. Compact head-mounted video cameras recorded ego-centric views of the hands during self-selected household chores. Over 60 hours of video was recorded from 8 persons with unilateral amputation or limb difference (6 transradial, 1 transhumeral, 1 shoulder). Of this, almost 16 hours of video data was analyzed by human experts using the 22-category ‘TULIP’ custom manipulation taxonomy, producing the type and duration of over 27,000 prehensile and non-prehensile manipulation tags on both upper limbs, permitting a level of objective analysis not previously possible with this population. Our analysis included unique observations on non-prehensile manipulations occurrence, determining that 79% of transradial body-powered device manipulations were non-prehensile, compared to 60% for transradial myoelectric devices. Conversely, only 16-19% of intact limb activity was non-prehensile. Additionally, multi-grasp terminal devices did not lead to increased activity compared to 1DOF devices.
Date Issued
2021-05
Date Acceptance
2021-04-03
Citation
IEEE Transactions on Medical Robotics and Bionics, 2021, 3 (2), pp.463-484
URI
http://hdl.handle.net/10044/1/88336
URL
https://ieeexplore.ieee.org/document/9399633
DOI
https://www.dx.doi.org/10.1109/tmrb.2021.3072253
ISSN
2576-3202
Publisher
Institute of Electrical and Electronics Engineers
Start Page
463
End Page
484
Journal / Book Title
IEEE Transactions on Medical Robotics and Bionics
Volume
3
Issue
2
Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
Identifier
https://ieeexplore.ieee.org/document/9399633
Publication Status
Published
Date Publish Online
2021-04-09
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