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[Abstract + References] Mobile, Exercise-agnostic, Sensor-based Serious Games for Physical Rehabilitation at Home

ABSTRACT

Serious games can improve the physical rehabilitation of patients with different conditions. By monitoring exercises and offering feedback, serious games promote the correct execution of exercises outside the clinic. Nevertheless, existing serious games are limited to specific exercises, which reduces their practical impact. This paper describes the design of three exercise-agnostic games, that can be used for a multitude of rehabilitation scenarios. The developed games are displayed on a smartphone and are controlled by a wearable device, containing inertial and electromyography sensors. Results from a preliminary evaluation with 10 users are discussed, together with plans for future work.

References

  1. Steven Dow, Blair MacIntyre, Jaemin Lee, Christopher Oezbek, Jay David Bolter, and Maribeth Gandy. 2005. Wizard of Oz Support Throughout an Iterative Design Process. IEEE Pervasive Computing 4, 4 (Oct. 2005), 18–26. Google ScholarDigital Library
  2. Brook Galna, Dan Jackson, Guy Schofield, Roisin McNaney, Mary Webster, Gillian Barry, Dadirayi Mhiripiri, Madeline Balaam, Patrick Olivier, and Lynn Rochester. 2014. Retraining function in people with Parkinson’s disease using the Microsoft kinect: game design and pilot testing. Journal of NeuroEngineering and Rehabilitation 11, 1 (14 Apr 2014), 60.Google ScholarCross Ref
  3. S.J. Ge_en. 2003. Rehabilitation principles for treating chronic musculoskeletal injuries. Med J Aust 178, 5 (2003), 238–242.Google ScholarCross Ref
  4. Maureen Kerwin, Francisco Nunes, and Paula Alexandra Silva. 2012. Dance! Don’t Fall – preventing falls and promoting exercise at home. Studies in health technology and informatics 177 (2012), 254259. http://europepmc.org/abstract/MED/22942064Google Scholar
  5. K. Laver, S. George, J. Ratcli_e, S. Quinn, C. Whitehead, O. Davies, and M. Crotty. 2011. Use of an interactive video gaming program compared with conventional physiotherapy for hospitalised older adults: a feasibility trial. Disability and Rehabilitation 34, 21 (2011), 1802–1808.Google ScholarCross Ref
  6. Gwyn N. Lewis, Claire Woods, Juliet A. Rosie, and Kathryn M. Mcpherson. 2011. Virtual reality games for rehabilitation of people with stroke: perspectives from the users. Disability and Rehabilitation: Assistive Technology 6, 5 (2011), 453–463.Google ScholarCross Ref
  7. Simon McCallum. 2012. Gami_cation and serious games for personalized health. Stud Health Technol Inform 177 (2012), 85–96.Google Scholar
  8. Brian A. Primack, Mary V. Carroll, Megan McNamara, Mary Lou Klem, Brandy King, Michael Rich, Chun W. Chan, and Smita Nayak. 2012. Role of Video Games in Improving Health-Related Outcomes: A Systematic Review. American Journal of Preventive Medicine 42, 6 (2012), 630–638.Google ScholarCross Ref
  9. A. Santos, V. Guimares, N. Matos, J. Cevada, C. Ferreira, and I. Sousa. 2015. Multi-sensor exercise-based interactive games for fall prevention and rehabilitation. In 9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). 65–71. Google ScholarDigital Library
  10. Devinder Kaur Ajit Singh, Nor Azlin Mohd Nordin, Noor Azah Abd Aziz, Beng Kooi Lim, and Li Ching Soh. 2013. E_ects of substituting a portion of standard physiotherapy time with virtual reality games among community-dwelling stroke survivors. BMC Neurology 13, 1 (13 Dec 2013), 199.Google Scholar
  11. Jan David Smeddinck, Marc Herrlich, and Rainer Malaka. 2015. Exergames for Physiotherapy and Rehabilitation: A Medium-term Situated Study of Motivational Aspects and Impact on Functional Reach. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI ’15). ACM, New York, NY, USA, 4143–4146. Google ScholarDigital Library
  12. Gabriele Spina, Guannan Huang, Anouk Vaes, Martijn Spruit, and Oliver Amft. 2013. COPDTrainer: A Smartphone-based Motion Rehabilitation Training System with Real-time Acoustic Feedback. In Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp ’13). ACM, New York, NY, USA, 597–606. Google ScholarDigital Library

via Mobile, Exercise-agnostic, Sensor-based Serious Games for Physical Rehabilitation at Home | Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction

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This entry was posted on January 4, 2020, 17:01 and is filed under REHABILITATION, Tele/Home Rehabilitation, Video Games/Exergames. You can follow any responses to this entry through RSS 2.0. You can leave a response, or trackback from your own site.

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