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HOMER: An Interactive System for Home Based Stroke Rehabilitation

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Kris KitaniAuthors Info & Claims

ASSETS '17: Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility

Pages 379 - 380

https://doi.org/10.1145/3132525.3134807

Published: 19 October 2017 Publication History

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Abstract

Delivering long term, unsupervised stroke rehabilitation in the home is a complex challenge that requires robust, low cost, scalable, and engaging solutions. We present HOMER, an interactive system that uses novel therapy artifacts, a computer vision approach, and a tablet interface to provide users with a flexible solution suitable for home based rehabilitation. HOMER builds on our prior work developing systems for lightly supervised rehabilitation use in the clinic, by identifying key features for functional movement analysis, adopting a simplified classification assessment approach, and supporting transferability of therapy outcomes to daily living experiences through the design of novel rehabilitation artifacts. A small pilot study with unimpaired subjects indicates the potential of the system in effectively assessing movement and establishing a creative environment for training.

References

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Anderson, C. et al. Stroke rehabilitation services to accelerate hospital discharge and provide home-based care. Pharmacoeconomics, 20(8): 537-552, 2002.

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Baran, M. et al. Interdisciplinary concepts for design and implementation of mixed reality interactive neurorehabilitation systems for stroke. Physical therapy, 2015;95:449-460

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Kirk, P. et al. Motivating Stroke Rehabilitation Through Music: A Feasibility Study Using Digital Musical Instruments in the Home. In Proc CHI '16, 1781-1785.

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Webster, C and Celik, O. Systematic review of Kinect applications in elderly care and stroke rehabilitation, J. of Neuroengineering and Rehab., vol. 11, pp. 1-24, 2014.

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Wolf, S. et al. Assessing wolf motor function test as outcome measure for research in patients after stroke. Stroke, 32(7):1635-1639, 2001

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Cited By

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Ahmed TThopalli KRikakis TTuraga PKelliher AHuang JWolf S(2021)Automated Movement Assessment in Stroke RehabilitationFrontiers in Neurology10.3389/fneur.2021.72065012Online publication date: 19-Aug-2021
https://doi.org/10.3389/fneur.2021.720650
Kelliher AZilevu SRikakis TAhmed TTruong YWolf SBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Towards Standardized Processes for Physical Therapists to Quantify Patient RehabilitationProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376706(1-13)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376706
Burlaga BOsińska MGembara PSmółkowska EMerda TGorzkowski M(2020)Interactive Mat an Innovative Implementation for the Rehabilitation of Disabled ChildrenInnovations in Biomedical Engineering10.1007/978-3-030-52180-6_21(185-195)Online publication date: 11-Oct-2020
https://doi.org/10.1007/978-3-030-52180-6_21
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Index Terms

HOMER: An Interactive System for Home Based Stroke Rehabilitation
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

ASSETS '17: Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility

October 2017

450 pages

ISBN:9781450349260

DOI:10.1145/3132525

General Chair:
Amy Hurst
University of Maryland, Baltimore County, USA
,
Program Chairs:
Leah Findlater
University of Washington, USA
,
Meredith Ringel Morris
Microsoft Research, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2017

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ASSETS '17

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SIGACCESS

ASSETS '17: The 19th International ACM SIGACCESS Conference on Computers and Accessibility

October 20 - November 1, 2017

Maryland, Baltimore, USA

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ASSETS '17 Paper Acceptance Rate 28 of 126 submissions, 22%;

Overall Acceptance Rate 436 of 1,556 submissions, 28%

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Cited By

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Ahmed TThopalli KRikakis TTuraga PKelliher AHuang JWolf S(2021)Automated Movement Assessment in Stroke RehabilitationFrontiers in Neurology10.3389/fneur.2021.72065012Online publication date: 19-Aug-2021
https://doi.org/10.3389/fneur.2021.720650
Kelliher AZilevu SRikakis TAhmed TTruong YWolf SBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Towards Standardized Processes for Physical Therapists to Quantify Patient RehabilitationProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376706(1-13)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376706
Burlaga BOsińska MGembara PSmółkowska EMerda TGorzkowski M(2020)Interactive Mat an Innovative Implementation for the Rehabilitation of Disabled ChildrenInnovations in Biomedical Engineering10.1007/978-3-030-52180-6_21(185-195)Online publication date: 11-Oct-2020
https://doi.org/10.1007/978-3-030-52180-6_21
Rikakis TKelliher AHuang JSundaram H(2018)Progressive cyber-human intelligence for social goodInteractions10.1145/323155925:4(52-56)Online publication date: 27-Jun-2018
https://dl.acm.org/doi/10.1145/3231559

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