Advertisement

Multimedia Tools and Applications

, Volume 74, Issue 10, pp 3543–3560 | Cite as

Data modeling mobile augmented reality: integrated mind and body rehabilitation

  • Kuei-Fang Hsiao
  • Habib F. Rashvand
Article

Abstract

The rapid growth of elderly populations throughout the world necessitates inclusion of this sector in all active functions of communities. However, lack of physical and mental fitness threatens their effectiveness is making them to drain the community resources instead of positive and productive contributions. Our studies show the need for a massive large-scale boost in two main dimensions of physical and mental health enhancement. In order to solve this problem, in this paper we propose a new low-cost and innovative adoption of augmented reality (AR) functions through an agile deployment of mobile-based augmented reality (mAR) embedded in massively available intelligent smartphones. In our proposed method a set of downloadable AR-enabled embedded learning and exercising programs, designed upon users’ historical and habitual improvement data would enable a collective sequence of required activities and individually optimized. At the system design level upon the individually recorded data in various databases select and configure the most suitable set of downloadable programs—a combination of mental and physical activities. From our experiment we provide some of our statistical results for two distinct application areas of mAR: ‘exercising-rehab’ and ‘lifelong learning’. Three sets of results show the age related results for three user critical features of ‘ease of use’, ‘usefulness’ and ‘user attitude’. Further analysis of data through modeling helps us to provide a systematic design procedure based on user’s age in conjunction with other variables.

Keywords

Mobile augmented reality M-health E-health Elderly Data modeling 

Notes

Acknowledgments

This study was supported by the National Science Council, Taiwan, under contract no: NSC 100-2511-S-130-003-MY2.

References

  1. 1.
    Ahn J, Han R (2012) An indoor augmented-reality evacuation system for the Smartphone using personalized Pedometry. Human-centric Comput Inf Sci (HCIS) 2(18):1–23Google Scholar
  2. 2.
    Baum EE, Jarjoura D, Polen AE, Faur D, Rutecki G (2003) Effectiveness of a group exercise program in a long-term care facility: a randomized pilot trial. J Am Med Directors Assoc 4:74–80CrossRefGoogle Scholar
  3. 3.
    Brahami M, Atmani B, Matta N (2013) Dynamic knowledge mapping guided by data mining: application on healthcare. J Inf Process Syst (JIPS) 9(1):1–30. doi: 10.3745/JIPS.2013.9.1.001 CrossRefGoogle Scholar
  4. 4.
    Burke JW, McNeill MDJ, Charles DK, Morrow PJ, Crosbie JH, McDonough SM (2010) Augmented reality games for upper-limb stroke rehabilitation. In: Games and virtual worlds for serious applications (VS-GAMES). 75–78. doi: 10.1109/VS-GAMES.2010.21
  5. 5.
    Carmigniani J, Furht B, Anisetti M, Ceravolo P, Damiani E, Ivkovic M (2011) Augmented reality technologies, systems and applications. Multimedia Tools Appl 51(1):341–377CrossRefGoogle Scholar
  6. 6.
    Chen M, Gonzales S, Vasilakos A, Cao H, Leung VCM (2011) Body area networks: a survey. Mobile Netw Appl 16:171–193. doi: 10.1007/s11036-010-0260-8 CrossRefGoogle Scholar
  7. 7.
    Choi Y, Choo M, Chin S (2005) Prototyping a student model for educational games. J Inf Process Syst (JIPS) 1(1):107CrossRefGoogle Scholar
  8. 8.
    Colcombe SJ, Kramer AF, Erickson KI, Scalf P, McAuley E, Cohen NJ, Webb A, Jerome GJ, Marquez DX, Elavsky S (2004) Cardiovascular fitness, cortical plasticity, and aging. Proc Natl Acad Sci USA 101(9):3316–3321Google Scholar
  9. 9.
    Dementia. From Wikipedia, the free encyclopedia. (2013) http://en.wikipedia.org/wiki/Wiki/_Dementia. Accessed 22 June 2013
  10. 10.
    Fasola J, Mataric MJ (2012) Using socially assistive human—robot interaction to motivate physical physical exercise for older adults. Proc IEEE 100(8):2512–2526. doi: 10.1109/JPROC.2012.2200539 CrossRefGoogle Scholar
  11. 11.
    Ferrigno G, Baroni G, Casolo F, De Momi E, Gini G, Matteucci M, Pedrocchi A (2011) Medical robotics. IEEE Pulse 2(3):55–61. doi: 10.1109/MPUL.2011.941523 CrossRefGoogle Scholar
  12. 12.
    Furht B (2011) Handbook of augmented reality. Springer Science + Business MediaGoogle Scholar
  13. 13.
    Gorgu L, O’Hare GMP, O’Grady MJ (2009) Towards mobile collaborative exergaming. In: The Second International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services. 61–64. doi: 10.1109/CENTRIC.2009.16
  14. 14.
    Hsiao KF (2013) Using augmented reality for students health- case of combining educational learning with standard fitness. Multimedia Tools Appl 64(2):407–421. doi: 10.1007/s11042-011-0985-9 CrossRefGoogle Scholar
  15. 15.
    Hsiao KF, Chen NS, Huang SY (2012) Learning while exercising for science education in augmented reality among adolescents. Interact Learn Environ 20(4):331–349CrossRefGoogle Scholar
  16. 16.
    Hsiao KF, Rashvand HF (2011) Integrating body language movements in augmented reality learning environment. Human-centric Comput Inf Sci (HCIS) 1(1):1–10CrossRefGoogle Scholar
  17. 17.
    Kim B, Youn C-H, Park Y-S, Lee Y, Choi W (2012) An adaptive workflow scheduling scheme based on an estimated data processing rate for next generation sequencing in cloud computing. J Inf Process Syst (JIPS) 8(4):555–566CrossRefGoogle Scholar
  18. 18.
    Kowtko M (2012) Using assistive technologies to improve lives of older adults and people with disabilities. In: Systems, applications and technology conference (LISAT). 1–6. doi: 10.1109/LISAT.2012.6223205
  19. 19.
    Malkawi M, Murad O (2013) Artificial neuro fuzzy logic system for detecting human emotions. Human-centric Comput Inf Sci (HCIS) 3(3):1–13Google Scholar
  20. 20.
    McDonnell R, Grimson J (2010) Identifying requirements and features for communications systems between older people in care settings. In: Computer-Based Medical Systems (CBMS), IEEE 23rd International Symposium. 122–127. doi: 10.1109/CBMS.2010.6042626
  21. 21.
    Mirzaei MR, Ghorshi S, Mortazavi M (2012) Virtual and augmented reality (SVR). In: The14th Symposium on Combining Augmented Reality and Speech Technologies to Help Deaf and Hard of Hearing People. 174–181. doi: 10.1109/SVR.2012.10
  22. 22.
    Moak ZB, Agrawal A (2010) The association between perceived interpersonal social support and physical and mental health: Results from the national epidemiological survey on alcohol and related conditions. J Public Health 32:191–201CrossRefGoogle Scholar
  23. 23.
    Mozgovoy M (2010) Extensible dependency grammar for education: ideas and experiments. J Converg (JoC) 1(1):29–34Google Scholar
  24. 24.
    Murphy E (1982) Social origins of depression in old age. Br J Psychiatr 141:135–142CrossRefGoogle Scholar
  25. 25.
    Nursing Shortage Fact Sheet (2010) http://www.aacn.nche.edu/media-relations/fact-sheets/nursing-shortage. Accessed 22 June 2013
  26. 26.
    Oh S, Byun YC (2012) The design and implementation of augmented reality learning systems. In: The IEEE/ACIS 11th International Conference on Computer and Information Science (ICIS). 651–654. doi: 10.1109/ICIS.2012.106
  27. 27.
    Pan Y, Zhang J (2012) Parallel programming on cloud computing platforms—challenges and solutions. J Converg (JoC) 3(4):23–28MathSciNetGoogle Scholar
  28. 28.
    Rashvand HF (2012) A keynote speech: use of mobile technology for monitoring health. In: The 17th Mobile Computing Workshop TaiwanGoogle Scholar
  29. 29.
    Rashvand HF, Calero JMA (2012) distributed sensor systems: practice and applications (Wiley Series on Communications Networking and Distributed Systems). Wiley; 1 edition (April 23, 2012)Google Scholar
  30. 30.
    Report of the U.S. Census Bureau: World’s Older Population Projected to Triple by 2050 (2009) http://www.census.gov/newsroom/releases/archives/international_population/cb09-97.html. Accessed 22 June 2013
  31. 31.
    Rovner B, German P, Brant L, Clark R (1991) Depression and mortality in nursing homes. J Am Med Assoc 264:993–997CrossRefGoogle Scholar
  32. 32.
    Sakurai Y, Hashida S, Tsuruta S, Ihara H (2008) Reliable web-based CSCW systems using information fusion of various multiple biological sensors. In: The IEEE International Conference on Signal Image Technology and Internet Based Systems (SITIS). 480–489. doi: 10.1109/SITIS.2008.100
  33. 33.
    Seelman KD, Palmer CV, Ortmann A, Mormer E, Guthrie O, Miele J, Brabyn J (2008) Quality-of-life technology for vision and hearing loss -highlights of recent developments and current challenges in technology. Eng Med Biol Mag 27(2):40–55. doi: 10.1109/EMB.2007.907393 CrossRefGoogle Scholar
  34. 34.
    Spirduso W, Clifford P (1978) Replication of age and physical activity effects on reaction and movement time. J Gerontol 33:26–30CrossRefGoogle Scholar
  35. 35.
    The International Federation of Alzheimer’s Disease and Related Disorders Societies Inc. (2008) The prevalence of dementia worldwide. In: Technical report, A. Alzheimer’s Disease InternationalGoogle Scholar
  36. 36.
    The Neilson Report: Survey new US smartphone growth by age and income (2012) http://www.nielsen.com/us/en/newswire/2012/survey-new-u-s-smartphone-growth-by-age-and-income.html. Accessed 22 June 2013
  37. 37.
    Wherton J, Prendergast D (2009) The building bridges project: involving older adults in the design of a communication technology to support peer-to-peer social engagement. HCI and Usability for E-Inclusion:111Google Scholar
  38. 38.
    Xhafa F (2012) Processing and analysing large log data files of a virtual campus. J Converg (JoC) 3(3):1–8Google Scholar
  39. 39.
    Zapirain BG, Zorrilla AM, Larrañaga S (2010) Psycho-stimulation for elderly people using puzzle game. In: The International IEEE Consumer Electronics Society Games Innovations Conference (ICE-GIC). 1–8. doi: 10.1109/ICEGIC.2010.5716903
  40. 40.
    Zhang Y, Lee M, Gatton TM (2009) Agent-based web healthcare systems for real-time chronic disease. In: Services World Conference. 14–21. doi: 10.1109/SERVICES-I.2009.104

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Information ManagementMing-Chuan UniversityTaoyuanTaiwan
  2. 2.Advanced Communication SystemsUniversity of WarwickCoventryUK

Personalised recommendations