skip to main content
research-article

Exploring the Communication of Progress in Home-based Falls Rehabilitation using Exergame Technologies

Authors Info & Claims
Published:08 January 2018Publication History
Skip Abstract Section

Abstract

Little is known on how to effectively represent rehabilitation progress, over a period of time, using exercise game (exergame) technologies. Progress in falls rehabilitation, which consists of improved performance in balance and muscle strength, is essential to assuring seniors of a reduced risk of falling. In this paper, we build on our previous research into exergames for falls, and we investigate how an exergame system can be used to communicate long-term progress to seniors. Using a multiphase user-centered requirements gathering process, we first investigated stakeholder perspectives regarding progress in self-managed rehabilitation. Following this we describe the home-based evaluation of our prototype exergame system, which highlights rehabilitation progress, with seniors, over a period of 2 months. Progress, in our system is communicated using charts of exercise performance and frequency, as well as medals awarded for achieving longer-term rehabilitation milestones. We report on seniors' opinions and preferences regarding the potential of our exergame system to communicate this rehabilitation progress in a meaningful way. Finally we discuss implications for design, based on our studies, to inform the development of more effective exergame systems for long-term unassisted rehabilitation in the home.

Skip Supplemental Material Section

Supplemental Material

References

  1. Victor van Acht, Edwin Bongers, Niek Lambert and Rene Verberne. 2007. Miniature Wireless Inertial Sensor for Measuring Human Motions. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 6279--82. DOI:10.1109/IEMBS.2007.4353790 Google ScholarGoogle ScholarCross RefCross Ref
  2. Gazihan Alankus, Amanda Lazar, Matt May and Caitlin Kelleher. 2010. Towards Customizable Games for Stroke Rehabilitation. In Proceedings of the 28th International Conference on Human Factors in Computing Systems (CHI ‘10). ACM, New York, NY, 2113--22. DOI: 10.1145/1753326.1753649 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Mobolaji Ayoade and Lynne Baillie. 2014. A Novel Knee Rehabilitation System for the Home. In Proceedings of the International Conference on Human Factors in Computing Systems (CHI ‘14). ACM, 2521--30. DOI: 10.1145/2556288.2557353 Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Naveen Bagalkot and Tomas Sokoler. 2013. Embodied-Self-Monitoring: Embracing the Context for Adherence to Physical Rehabilitation in the Design for Self-Monitoring. In proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth ‘13). ACM, 192--99. DOI: 10.4108/icst.pervasivehealth.2013.252027 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. B. R. Brewer, Roberta L. Klatzky and Yoky Matsuoka. 2006. Initial Therapeutic Results of Visual Feedback Manipulation in Robotic Rehabilitation. IEEE, 160--66. DOI: 10.1109/IWVR.2006.1707546 Google ScholarGoogle ScholarCross RefCross Ref
  6. John A. Campbell, Clare Robertson, M. M. Gardner, R. N. Norton, M. W. Tilyard and D. M. Buchner. 1997. Randomised Controlled Trial of a General Practice Programme of Home Based Exercise to Prevent Falls in Elderly Women. BMJ 315, no. 7115: 1065--69. DOI:10.1136/bmj.315.7115.1065 Google ScholarGoogle ScholarCross RefCross Ref
  7. Carlo Camporesi, Marcelo Kallmann and Jay J. Han. 2013. VR Solutions for Improving Physical Therapy. IEEE, 77--78. DOI:10.1109/VR.2013.6549371 Google ScholarGoogle ScholarCross RefCross Ref
  8. Tom Crocker, Anne Forster, John Young, Lesley Brown, Seline Ozer et al. 2013. Physical Rehabilitation for Older People in Long-Term Care. In The Cochrane Collaboration (Ed.), Cochrane Database of Systematic Reviews. John Wiley 8 Sons, Ltd, UK Google ScholarGoogle ScholarCross RefCross Ref
  9. Andreas Ejupi, Yves J. Gschwind, Trinidad Valenzuela, Stephen R. Lord and Kim Delbaere. 2016. A Kinect and Inertial Sensor-Based System for the Self-Assessment of Fall Risk: A Home-Based Study in Older People. Human--Computer Interact. 31, no. 3--4: 261--293Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Lesley Gillespie, Clare Robertson, William J. Gillespie, Sarah E. Lamb, Simon Gates et al. 2009. Interventions for Preventing Falls in Older People Living in the Community. In Cochrane Database of Systematic Reviews, edited by The Cochrane Collaboration. Chichester, UK. John Wiley 8 Sons, Ltd. http://doi.wiley.com/10.1002/14651858.CD007146.pub2Google ScholarGoogle Scholar
  11. Kevin Huang, Patrick J. Sparto, Sara Kiesler, Asim Smailagic, Jennifer Mankoff and Dan Siewiorek. 2014. A Technology Probe of Wearable in-Home Computer-Assisted Physical Therapy. In Proceedings of the International Conference on Human Factors in Computing Systems (CHI ‘14), ACM, New York, NY, 2541--50. DOI: 10.1145/2556288.2557416 Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Agnes W. K. Lam, Danniel Varona-Marin, Yeti Li, Mitchell Fergenbaum and Dana Kulić. 2016. Automated Rehabilitation System: Movement Measurement and Feedback for Patients and Physiotherapists in the Rehabilitation Clinic. Human--Computer Interact. vol. 31, no. 3--4: 294--334Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Belinda Lange, Sheryl Flynn, Chien-Yen Chang, W. Liang, C. L. Chieng et al. 2011. Development of an Interactive Stepping Game to Reduce Falls in Older Adults. Int. J. Disabil. Hum. Dev. 10. DOI: https://doi.org/10.1515/IJDHD.2011.056 Google ScholarGoogle ScholarCross RefCross Ref
  14. Kate Laver, Julie Ratcliffe, Stacey George, Leonie Burgess and Maria Crotty. 2011. Is the Nintendo Wii Fit really acceptable to older people?: a discrete choice experiment. BMC Geriatr. 11. DOI: 10.1186/1471-2318-11-64 Google ScholarGoogle ScholarCross RefCross Ref
  15. Jiann-Der Lee, Chung-Hung Hsieh and Ting-Yang Lin. 2014. A Kinect-Based Tai Chi Exercises Evaluation System for Physical Rehabilitation. In proceedings of the 2014 IEEE International Conference on Consumer Electronics (ICCE ‘14), 177--78. DOI:10.1109/ICCE.2014.6775961 Google ScholarGoogle ScholarCross RefCross Ref
  16. Stephen R. Lord and Richard C. Fitzpatrick. 2001. Choice Stepping Reaction Time: A Composite Measure of Falls Risk in Older People. J Gerontol A Biol Sci Med Sci. 56, M627--32 Google ScholarGoogle ScholarCross RefCross Ref
  17. Maja Matarić, Jon Eriksson, David J. Feil-Seifer and Carolee J. Winstein. 2007. Socially Assistive Robotics for Post-Stroke Rehabilitation. J NeuroEngineering Rehabil. 4, 5. DOI: 10.1186/1743-0003-4-5 Google ScholarGoogle ScholarCross RefCross Ref
  18. Microsoft Corporation, 2017. Kinect for Xbox 360, Microsoft Corporation. http://www.xbox.com/en-US/xbox-one/accessories/kinect (accessed 05.10.2017)Google ScholarGoogle Scholar
  19. Paramita Mitra, Tahseen Chaudhury and S. A. Ali. 2012. Fragility Fractures in the Elderly: Evolving Approaches in the NHS. Trauma 14, 39--46 Google ScholarGoogle ScholarCross RefCross Ref
  20. Lee Morton, Lynne Baillie and Roberto Ramirez-Iniguez. 2013. Pose Calibrations for Inertial Sensors in Rehabilitation Applications. In proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob ‘13), 204--11. DOI: 10.1109/WiMOB.2013.6673362 Google ScholarGoogle ScholarCross RefCross Ref
  21. Nintendo Corporation, 2017. Nintendo of Europe GmbH. http://www.nintendo.co.uk/Support/Wii/Wii-301698.html (accessed 05.10.2017)Google ScholarGoogle Scholar
  22. Jennifer Nitz, Suzanne Kuys, R. Isles and Stephanie Fu. 2010. Is the Wii Fit a New-Generation Tool for Improving Balance, Health and Well-Being? A Pilot Study. Climacteric 13: 487--491Google ScholarGoogle ScholarCross RefCross Ref
  23. Samuel R. Nyman and Christina R. Victor. 2012. Older People's Participation in and Engagement with Falls Prevention Interventions in Community Settings: An Augment to the Cochrane Systematic Review. Age Ageing 41: 16--23. DOI: 10.1093/ageing/afr103 Google ScholarGoogle ScholarCross RefCross Ref
  24. Corinna Ogonowski, Konstantin Aal, Daryoush Vaziri, Thomas Von Rekowski, Dave Randall et al. 2016. ICT-Based Fall Prevention System for Older Adults: Qualitative Results from a Long-Term Field Study. In ACM Transactions on Computer-Human Interaction 23, no. 5: 1--33. DOI: 10.1145/2967102 Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Yoshiro Okubo, Daniel Schoene and Stephen R. Lord. 2016. Step Training Improves Reaction Time, Gait and Balance and Reduces Falls in Older People: A Systematic Review and Meta-Analysis. Br J Sports Med. DOI: 10.1136/bjsports-2015-095452 Google ScholarGoogle ScholarCross RefCross Ref
  26. Eva Pietrzak, Cristina Cotea and Stephen Pullman. 2014. Using Commercial Video Games for Falls Prevention in Older Adults: The Way for the Future? J Geriatr Phys Ther. 37, no. 4: 166--77. DOI: 10.1519/JPT.0b013e3182abe76e Google ScholarGoogle ScholarCross RefCross Ref
  27. Arno Rademaker, S. Van der Linden and J. Wiersinga. SilverFit, a Virtual Rehabilitation System. Gerontechnology 8, no. 2. DOI: 10.4017/gt.2009.08.02.012.00 Google ScholarGoogle ScholarCross RefCross Ref
  28. Clare Robertson, Nancy Devlin, M. M. Gardner and Archibald J. Campbell. 2001. Effectiveness and Economic Evaluation of a Nurse Delivered Home Exercise Programme to Prevent Falls. 1: Randomised Controlled Trial. BMJ (Clinical Research Ed.) 322, no. 7288: 697--701Google ScholarGoogle ScholarCross RefCross Ref
  29. Sanjay Saini, Dayang R. A. Rambli, Suziah Sulaiman, Mohamed N. Zakaria and Siti R. Mohd Shukri. 2012. A Low-Cost Game Framework for a Home-Based Stroke Rehabilitation System. IEEE, 55--60 Google ScholarGoogle ScholarCross RefCross Ref
  30. Daniel Schoene, Stephen R. Lord, Kim Delbaere, Connie Severino, Thomas A. Davies and Stuart T. Smith. 2013. A Randomized Controlled Pilot Study of Home-Based Step Training in Older People Using Videogame Technology. PLoS ONE 8, no. 3: e57734. DOI: 10.1371/journal.pone.0057734 Google ScholarGoogle ScholarCross RefCross Ref
  31. Catherine Sherrington, Anne Tiedemann, Nicola Fairhall, Jacqueline C.T. Close and Stephen R. Lord. 2011. Exercise to Prevent Falls in Older Adults: An Updated Meta-Analysis and Best Practice Recommendations. New South Wales Public Health Bulletin 22, no. 4: 78. DOI: 10.1071/NB10056 Google ScholarGoogle ScholarCross RefCross Ref
  32. Shih-Ching Yeh, Shun-Min Chang, Shu-Ya Chen, Wu-Yuin Hwang, Tzu-Chuan Huang et al. 2012. A Lower Limb Fracture Postoperative-Guided Interactive Rehabilitation Training System and its Effectiveness Analysis. IEEE, 149--54Google ScholarGoogle Scholar
  33. Dawn A. Skelton, Susie Dinan, Malcolm Campbell and Olga Rutherford. 2005. Tailored Group Exercise (Falls Management Exercise -- FaME) Reduces Falls in Community-Dwelling Older Frequent Fallers (an RCT). Age Ageing 34:636--639. DOI: 10.1093/ageing/afi174 Google ScholarGoogle ScholarCross RefCross Ref
  34. Richard Tang, Xing-Dong Yang, Scott Bateman, Joaquim Jorge and Anthony Tang. 2015. Physio@Home: Exploring Visual Guidance and Feedback Techniques for Physiotherapy Exercises. In Proceedings of the International Conference on Human Factors in Computing Systems (CHI ‘15). ACM, New York, NY, 4123--32. DOI: 10.1145/2702123.2702401 Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Mary Tinetti, Dorothy. I. Baker, Gail McAvay, Elizabeth. B. Claus, Patricia Garrett et al. 1994. A Multifactorial Intervention to Reduce the Risk of Falling among Elderly People Living in the Community. N Engl J Medicine 331, no. 13: 821--27. DOI: 10.1056/NEJM199409293311301 Google ScholarGoogle ScholarCross RefCross Ref
  36. Stephen Uzor and Lynne Baillie. 2013. Exploring 8 Designing Tools to Enhance Falls Rehabilitation in the Home. In Proceedings of the International Conference on Human Factors in Computing Systems (CHI ‘13). ACM, New York, NY, 1233--42. DOI: 10.1145/2470654.2466159 Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Stephen Uzor and Lynne Baillie. 2014. Investigating the Long-Term Use of Exergames in the Home with Elderly Fallers. In Proceedings of the International Conference on Human Factors in Computing Systems (CHI ‘14). ACM, New York, NY, 2813--22. DOI: 10.1145/2556288.2557160 Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Stephen Uzor, Lynne Baillie and Dawn Skelton. 2012. Senior Designers: Empowering Seniors to Design Enjoyable Falls Rehabilitation Tools. In Proceedings of the International Conference on Human Factors in Computing Systems (CHI ‘12). ACM, 1179--88 Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. Stephen Uzor, Lynne Baillie, Dawn Skelton and Fiona Fairlie. 2011. Identifying Barriers to Effective User Interaction with Rehabilitation Tools in the Home. In Human-Computer Interaction -- INTERACT 2011, Berlin, Heidelberg: Springer Berlin Heidelberg, 6947:36--43. DOI: http://dx.doi.org/10.1007/978-3-642-23771-3_3 Google ScholarGoogle ScholarCross RefCross Ref
  40. Anthony Whitehead, Nick Crampton, Kaitlyn Fox and Hannah Johnston. 2007. Sensor Networks as Video Game Input Devices, In Proceedings of 2007 ACM conference on Future Play (Future Play ‘07), 38--45. DOI: 10.1145/1328202.1328210 Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. William Young, Stuart Ferguson, Sebastien Brault and Cathy Craig. 2011. Assessing and Training Standing Balance in Older Adults: A Novel Approach using the “Nintendo Wii” Balance Board. Gait Posture 33: 303--305. DOI: 10.1016/j.gaitpost.2010.10.089 Google ScholarGoogle ScholarCross RefCross Ref
  42. Julie Doyle, Catherine Bailey, Ben Dromey and Cliodhna Scanaill. 2010. BASE - An Interactive Technology Solution to Deliver Balance and Strength Exercises to Older Adults. In the Proceedings of the 4th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). IEEE, pp. 1--5Google ScholarGoogle ScholarCross RefCross Ref
  43. Joel Perry, Julien Andureu, Francesca Cavallero, Jan Veneman, Stefan Carmien et al. 2011. Effective Game Use in Neurorehabilitation: User-Centered Perspectives. In: Handbook of Research on Improving Learning and Motivation through Educational Games, pp. 683--725Google ScholarGoogle Scholar
  44. Kathrin Gerling, Ian Livingston, Lennart Nacke and Regan Mandryk. 2012. Full-Body Motion-Based Game Interaction for Older Adults. In the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘12). ACM Press, pp. 1873--82 Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Bert Bongers, Stuart T. Smith, Victor Donker, Michelle Pickrell, Rebecca Hall and Stefan Lie. 2014. Interactive Infrastructures -- Physical Rehabilitation Modules for Pervasive Healthcare Technology. In: Pervasive Health -- state of the art and beyond. Andreas Holzinger, Martina Ziefle, Carsten Röcker. (eds.) Springer, London, UK, 229--54 Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Exploring the Communication of Progress in Home-based Falls Rehabilitation using Exergame Technologies

      Recommendations

      Comments

      Login options

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

      Sign in

      Full Access

      • Published in

        cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
        Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 1, Issue 4
        December 2017
        1298 pages
        EISSN:2474-9567
        DOI:10.1145/3178157
        Issue’s Table of Contents

        Copyright © 2018 ACM

        Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 8 January 2018
        • Accepted: 1 November 2017
        • Revised: 1 October 2017
        • Received: 1 May 2017
        Published in imwut Volume 1, Issue 4

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Research
        • Refereed

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader