Work in Progress

Designing Modular Rehabilitation Objects for Interactive Therapy in the Home

Authors:

Aisling Kelliher,

Andrew Gibson,

Eric Bottelsen,

Edward CoeAuthors Info & Claims

TEI '19: Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction

Pages 251 - 257

https://doi.org/10.1145/3294109.3300983

Published: 17 March 2019 Publication History

Get Access

Abstract

Interactive home based rehabilitation therapy is a promising treatment development for stroke survivors. As the impairment characteristics of each stroke survivor are unique, interactive rehabilitation systems need to be customized to the functional and movement quality outcome goals of the patient, and adaptable over time as therapy progresses. In this paper, we present our iterative co-design process creating a set of modular therapy objects and a rehabilitation protocol for upper extremity stroke survivors. Our objects and training protocol are adaptable components within a computer vision based interactive system that captures and analyzes stroke survivors completing rehabilitation activities. We report on findings from a pilot study with nine stroke survivors and a workshop with five physiotherapists where we highlight challenges in designing objects for impaired grasps, opportunities for aligning objects with activities of everyday living, and the responsibility of design sensitivity.

References

[1]

Craig Anderson, Sally Rubenach, Cliona Ni Mhurchu, Michael Clark, Carol Spencer, and Adrian Winsor. 2000. Home or hospital for stroke rehabilitation? Results of a randomized controlled trial: I: Health outcomes at 6 months. Stroke, 31(5): 1024--1031, 2000

Crossref

Google Scholar

[2]

Madeline Balaam, Stefan Rennick Egglestone, Geraldine Fitzpatrick, Tom Rodden, Ann-Marie Hughes, Anna Wilkinson, Thomas Nind, Lesley Axelrod, Eric Harris, Ian Ricketts, Susan Mawson, and Jane Burridge. 2011. Motivating mobility: designing for lived motivation in stroke rehabilitation. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11). ACM New York, NY, 3073--3082

Digital Library

Google Scholar

[3]

Michael Baran, Nicole Lehrer, Margaret Duff, Vinay Venkataraman, Pavan Turaga, Todd Ingalls, W Zev Rymer, Steven L Wolf, and Thanassis Rikakis. 2015. Interdisciplinary concepts for design and implementation of mixed reality interactive neurorehabilitation systems for stroke. Physical therapy, 95, 3 (2015), 449 - 460

Google Scholar

[4]

Genevieve Bell, Mark Blythe, and Phoebe Sengers. 2005. Making by making strange: Defamiliarization and the design of domestic technologies. ACM Trans. Comput.-Hum. Interact. 12, 2 (June 2005), 149--173

Digital Library

Google Scholar

[5]

Thomas Feix, Roland Pawlik, Heinz-Bodo Schmiedmayer, Javier Romero, and Danica Kragic. 2009. A comprehensive grasp taxonomy. In Robotics, Science and Systems: Workshop on Understanding the Human Hand for Advancing Robotic Manipulation, pp 2--3, 2009.

Google Scholar

[6]

Mostafa Haghi, Kerstin Thurow, and Regina Stoll. 2017. Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices. Healthc Inform Res, 2017. 23(1): p. 4--15.

Crossref

Google Scholar

[7]

Thanassis Rikakis, Aisling Kelliher, Jinwoo Choi, Jia-Bin Huang, Kris Kitani, Setor Zilevu, and Steven L. Wolf. 2018. Semi-automated home-based therapy for the upper extremity of stroke survivors. In Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference (PETRA '18). ACM, New York, NY, USA, 249--256.

Digital Library

Google Scholar

[8]

Pedro Kirk, Mick Grierson, Rebeka Bodak, Nick Ward, Fran Brander, Kate Kelly, Nicholas Newman, and Lauren Stewart. 2016. Motivating Stroke Rehabilitation Through Music: A Feasibility Study Using Digital Musical Instruments in the Home. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 1781--1785

Digital Library

Google Scholar

[9]

Mikko Kytö, David McGookin, Wilfried Bock, Héctor A. Caltenco, and Charlotte Magnusson. 2018. Designing Bimanual Tangible Interaction for Stroke Survivors. In Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '18). ACM, New York, NY, USA, 245--252.

Digital Library

Google Scholar

[10]

Alexandros Pantelopoulos, and Nikolaos Bourbakis, A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 2009. 40(1): p. 1--12.

Digital Library

Google Scholar

[11]

Edward Taub, Miller NE, Novack TA, Cook EW III, Fleming WC, Nepomuceno CS, Connell JS, Crago JE. Technique to improve chronic motor deficit after stroke. Arch Phys Med Rehabil. 1993;74:347--354

Google Scholar

[12]

Steven L Wolf, Pamela A Catlin, Michael Ellis, Audrey Link Archer, Bryn Morgan, and Aimee Pia- centino. Assessing wolf motor function test as outcome measure for research in patients after stroke. Stroke, 32(7):1635--1639, 2001.

Google Scholar

Cited By

View all

Madapura Nagaraj PMo WHolloway C(2024)Mindfulness-based Embodied Tangible Interactions for Stroke Rehabilitation at HomeProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642463(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642463
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
Clark JZilevu SAhmed TKelliher AYeshala SGarrison SGarcia CMenezes OSeth MRikakis T(2021)Hybrid Workflow Process for Home Based Rehabilitation Movement CaptureProceedings of the 2021 ACM International Conference on Interactive Media Experiences10.1145/3452918.3465499(241-246)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3452918.3465499
Show More Cited By

Index Terms

Designing Modular Rehabilitation Objects for Interactive Therapy in the Home
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
  2. Interaction design
    1. Interaction design process and methods
      1. Interface design prototyping
      2. Participatory design
2. Social and professional topics
  1. User characteristics
    1. People with disabilities

Recommendations

Semi-automated home-based therapy for the upper extremity of stroke survivors
PETRA '18: Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference

Technology assisted home based rehabilitation therapy offers a potentially cost-effective and convenient solution for those affected by neuro and musculoskeletal impairments. Home based solutions, however, face many challenges, the most significant of ...
Designing Interactive Systems for Balance Rehabilitation after Stroke
TEI '17: Proceedings of the Eleventh International Conference on Tangible, Embedded, and Embodied Interaction

This paper presents four different tangible interactive prototypes designed to support the continuation of balance rehabilitation at home. The interactive prototypes are designed to provide a more enjoyable and experience when performing balance ...
An improved solution for knee rehabilitation at home
BodyNets '14: Proceedings of the 9th International Conference on Body Area Networks

The paper illustrates a prototype of an end-to-end solution to support knee rehabilitation at home. The solution has been designed by a multidisciplinary team, including engineers, physical therapists, physicians and ergonomists. The correct execution ...

Comments

Information & Contributors

Information

Published In

TEI '19: Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction

March 2019

785 pages

ISBN:9781450361965

DOI:10.1145/3294109

General Chairs:
Stacey Kuznetsov
Arizona State University, USA
,
Daniel Saakes
KAIST, South Korea
,
Ron Wakkary
Simon Fraser University, Canada & Eindhoven University of Technology, the Netherlands
,
Program Chairs:
Luc Geurts
KU Leuven, Belgium
,
Lauren Hayes
Arizona State University, USA
,
Manfred Lau
Lancaster University, UK & City University of Hong Kong, Hong Kong

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 March 2019

Check for updates

Author Tags

Qualifiers

Work in progress

Conference

TEI '19

Sponsor:

SIGCHI

TEI '19: Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction

March 17 - 20, 2019

Arizona, Tempe, USA

Acceptance Rates

TEI '19 Paper Acceptance Rate 36 of 110 submissions, 33%;

Overall Acceptance Rate 393 of 1,367 submissions, 29%

Upcoming Conference

TEI '25

Sponsor:
sigchi

Nineteenth International Conference on Tangible, Embedded, and Embodied Interaction

March 4 - 7, 2025

Bordeaux / Talence , France

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
232
Total Downloads

Downloads (Last 12 months)23
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Madapura Nagaraj PMo WHolloway C(2024)Mindfulness-based Embodied Tangible Interactions for Stroke Rehabilitation at HomeProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642463(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642463
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
Clark JZilevu SAhmed TKelliher AYeshala SGarrison SGarcia CMenezes OSeth MRikakis T(2021)Hybrid Workflow Process for Home Based Rehabilitation Movement CaptureProceedings of the 2021 ACM International Conference on Interactive Media Experiences10.1145/3452918.3465499(241-246)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3452918.3465499
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

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Semi-automated home-based therapy for the upper extremity of stroke survivors

Designing Interactive Systems for Balance Rehabilitation after Stroke

An improved solution for knee rehabilitation at home