Abstract
We present the design of a system combining augmented reality (AR) and gamification to support elderly persons’ rehabilitation activities. The system is attached to the waist; it collects detailed movement data and at the same time augments the user’s path by projections. The projected AR-elements can provide location-based information or incite movement games. The collected data can be observed by therapists. Based on this data, the challenge level can be more frequently adapted, keeping up the patient’s motivation. The exercises can involve cognitive elements (for mild cognitive impairments), physiological elements (rehabilitation), or both. The overall vision is an individualized and gamified therapy. Thus, the system also offers application scenarios beyond rehabilitation in sports. In accordance with the methodology of design thinking, we present a first specification and a design vision based on inputs from business experts, gerontologists, physiologists, psychologists, game designers, cognitive scientists and computer scientists.
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References
Risk factors of ill health among older people, 05 February 2018. http://www.euro.who.int/en/health-topics/Life-stages/healthy-ageing/data-and-statistics/risk-factors-of-ill-health-among-older-people. Accessed 05 Feb 2018
Department of Economic and Social Affairs United Nations: World Population Prospects: The 2017 Revision, Key Findings and Advance Tables. Working Paper No. ESA/P/WP/248 (2017)
Siegel, C., Hochgatterer, A., Dorner, T.E.: Contributions of ambient assisted living for health and quality of life in the elderly and care services - a qualitative analysis from the experts’ perspective of care service professionals. BMC Geriatr. 14, 112 (2014)
Active and Assisted Living Programme | ICT for ageing well. http://www.aal-europe.eu/. Accessed 28 Feb 2018
Alfaro-Acha, A., Al Snih, S., Raji, M.A., Markides, K.S., Ottenbacher, K.J.: Does 8-foot walk time predict cognitive decline in older Mexicans Americans? J. Am. Geriatr. Soc. 55(2), 245–251 (2007)
Cesari, M., et al.: Prognostic value of usual gait speed in well-functioning older people–results from the Health, Aging and Body Composition Study. J. Am. Geriatr. Soc. 53(10), 1675–1680 (2005)
Montero-Odasso, M., et al.: Gait velocity as a single predictor of adverse events in healthy seniors aged 75 years and older. J. Gerontol. Ser. A: Biol. Sci. Med. Sci. 60(10), 1304–1309 (2005)
Studenski, S.: Gait speed and survival in older adults. JAMA 305(1), 50 (2011)
Verghese, J., Wang, C., Holtzer, R.: Relationship of clinic-based gait speed measurement to limitations in community-based activities in older adults. Arch. Phys. Med. Rehabil. 92(5), 844–846 (2011)
Vanacken, L., et al.: Game-based collaborative training for arm rehabilitation of MS patients: a proof-of-concept game, March 2011
Sousa, M., Vieira, J., Medeiros, D., Arsenio, A., Jorge, J.: SleeveAR: augmented reality for rehabilitation using realtime feedback, pp. 175–185 (2016)
UW Design 2016 | TrainAR
Backlund, P., Hendrix, M.: Educational games - are they worth the effort? A literature survey of the effectiveness of serious games. In: 2013 5th International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES), pp. 1–8 (2013)
Morelli, T., Foley, J., Folmer, E.: Vi-bowling: a tactile spatial exergame for individuals with visual impairments. In: Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility, New York, NY, USA, pp. 179–186 (2010)
Brach, M., et al.: Modern principles of training in exergames for sedentary seniors: requirements and approaches for sport and exercise sciences, vol. 11 (2011)
Korn, O., Tietz, S.: Strategies for playful design when gamifying rehabilitation: a study on user experience. In: Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, New York, NY, USA, pp. 209–214 (2017)
McNevin, N.H., Wulf, G., Carlson, C.: Effects of attentional focus, self-control, and dyad training on motor learning: implications for physical rehabilitation. Phys. Ther. 80(4), 373–385 (2000)
Bassett, S.: The assessment of patient adherence to physiotherapy rehabilitation, vol. 31 (2003)
Brumels, K.A., Blasius, T., Cortright, T., Oumedian, D., Solberg, B.: Comparison of efficacy between traditional and video game based balance programs, vol. 62 (2008)
Martin, A.L., Götz, U., Müller, C., Bauer, R.: ‘Gabarello v.1.0’ and ‘Gabarello v.2.0’: development of motivating rehabilitation games for robot-assisted locomotion therapy in childhood. In: Games for Health 2014, pp. 101–104. Springer Vieweg, Wiesbaden (2014)
van Reine, P.P.: The culture of design thinking for innovation. J. Innov. Manag. 5(2), 56–80 (2017)
Serrat, O.: “Design Thinking”, in Knowledge Solutions, pp. 129–134. Springer, Singapore (2017)
McFarlane, D.C., Wilder, S.M.: Interactive dirt: increasing mobile work performance with a wearable projector-camera system. In: Proceedings of the 11th International Conference on Ubiquitous Computing, New York, NY, USA, pp. 205–214 (2009)
Zhou, H., Hu, H.: Human motion tracking for rehabilitation—a survey. Biomed. Sig. Process. Control 3(1), 1–18 (2008)
Shneiderman, B.: Designing the User Interface: Strategies for Effective Human-Computer Interaction, 5th edn. Addison-Wesley, Boston (2010)
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Korn, O., Buchweitz, L., Rees, A., Bieber, G., Werner, C., Hauer, K. (2019). Using Augmented Reality and Gamification to Empower Rehabilitation Activities and Elderly Persons. A Study Applying Design Thinking. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 787. Springer, Cham. https://doi.org/10.1007/978-3-319-94229-2_21
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