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Journal of Robotics
Volume 2011, Article ID 438514, 11 pages
http://dx.doi.org/10.1155/2011/438514
Research Article

Toward Monitoring and Increasing Exercise Adherence in Older Adults by Robotic Intervention: A Proof of Concept Study

School of Informatics, Indiana University, 535 West Michigan Street, Indianapolis, IN 46202, USA

Received 31 May 2011; Revised 17 August 2011; Accepted 18 August 2011

Academic Editor: Haruhisa Kawasaki

Copyright © 2011 Prathik Gadde et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. W. He, M. Sengupta, V. A. Velkoff, and K. A. DeBarros, “U.S. Census Bureau,” 2005, http://www.census.gov/prod/2006pubs/p23-209.pdf.
  2. J. J. Calahan, “Aging in place,” Generations, vol. 16, no. 2, p. 5, 1992. View at Google Scholar
  3. K. D. Marek and M. J. Rantz, “Aging in place: a new model for long-term care,” Nursing Administration Quarterly, vol. 24, no. 3, pp. 1–11, 2000. View at Google Scholar · View at Scopus
  4. N. G. Kutner, M. G. Ory, D. I. Baker, K. B. Schechtman, M. C. Hornbrook, and C. D. Mulrow, “Measuring the quality of life of the elderly in health promotion intervention clinical trials,” Public Health Reports, vol. 107, no. 5, pp. 530–539, 1992. View at Google Scholar · View at Scopus
  5. C. Vallbona and S. B. Baker, “Physical fitness prospects in the elderly,” Archives of Physical Medicine and Rehabilitation, vol. 65, no. 4, pp. 194–200, 1984. View at Google Scholar · View at Scopus
  6. M. P. Buman, E. B. Hekler, W. L. Haskell et al., “Objective light-intensity physical activity associations with rated health in older adults,” American Journal of Epidemiology, vol. 172, no. 10, pp. 1155–1165, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. D. E. R. Warburton, C. W. Nicol, and S. S. D. Bredin, “Health benefits of physical activity: the evidence,” Canadian Medical Association Journal, vol. 174, no. 6, pp. 801–809, 2006. View at Publisher · View at Google Scholar
  8. S. N. Culos-Reed, W. J. Rejeski, E. McAuley, J. K. Ockene, and D. L. Roter, “Predictors of adherence to behavior change interventions in the elderly,” Controlled Clinical Trials, vol. 21, no. 5, pp. 200S–205S, 2000. View at Google Scholar · View at Scopus
  9. A. C. King, W. J. Rejeski, and D. M. Buchner, “Physical activity interventions targeting older adults: a critical review and recommendations,” American Journal of Preventive Medicine, vol. 15, no. 4, pp. 316–333, 1998. View at Publisher · View at Google Scholar · View at Scopus
  10. M. A. Napolitano, G. D. Papandonatos, B. A. Lewis et al., “Mediators of physical activity behavior change: a multivariate approach,” Health Psychology, vol. 27, no. 4, pp. 409–418, 2008. View at Publisher · View at Google Scholar · View at Scopus
  11. M. S. Hagger, N. Chatzisarantis, and S. J. H. Biddle, “A meta-analytic review of theories of reasoned action and planned behavior in physical activity,” Journal of Sports and Exercise Psychology, vol. 24, no. 1, pp. 3–32, 2002. View at Google Scholar
  12. W. D. Spector, J. Fleishman, L. Pezzin, and B. Spillman, “The characteristics of adult long-term care users: comparing the non-elderly and the elderly,” Association for Health Services Research Meeting, vol. 16, p. 240, 1999. View at Google Scholar
  13. R. J. Nied and B. Franklin, “Promoting and prescribing exercise for the elderly,” American Family Physician, vol. 65, no. 3, pp. 419–428, 2002. View at Google Scholar · View at Scopus
  14. K. Holmén, K. Ericsson, and B. Winblad, “Social and emotional loneliness among non-demented and demented elderly people,” Archives of Gerontology and Geriatrics, vol. 31, no. 3, pp. 177–192, 2000. View at Publisher · View at Google Scholar · View at Scopus
  15. Y. Tao, H. Wei, T. Wang, and D. Chen, “A multi-layered interaction architecture for elderly companion robot,” Lecture Notes in Artificial Intelligence, vol. 5314, no. 1, pp. 538–546, 2008. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Turkle, “Authenticity in the age of digital companions,” Interaction Studies, vol. 8, no. 3, pp. 501–517, 2007. View at Google Scholar · View at Scopus
  17. S. Turkle, W. Taggart, C. D. Kidd, and O. Dasté, “Relational artifacts with children and elders: the complexities of cybercompanionship,” Connection Science, vol. 18, no. 4, pp. 347–361, 2006. View at Publisher · View at Google Scholar · View at Scopus
  18. E. Friedmann, A. H. Katcher, J. J. Lynch, and S. A. Thomas, “Animal companions and one-year survival of patients after discharge from a coronary care unit,” Public Health Reports, vol. 95, no. 4, pp. 307–312, 1980. View at Google Scholar · View at Scopus
  19. J. Serpell, “Beneficial effects of pet ownership on some aspects of human health and behaviour,” Journal of the Royal Society of Medicine, vol. 84, no. 12, pp. 717–720, 1991. View at Google Scholar · View at Scopus
  20. K. Wada, T. Shibatal, T. Musha, and S. Kimura, “Effects of robot therapy for demented patients evaluated by EEG,” in Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS '05), pp. 1552–1557, 2005.
  21. K. Wada, T. Shibata, T. Saito, and K. Tanie, “Effects of robot-assisted activity for elderly people and nurses at a day service center,” in Proceedings of the IEEE, pp. 1780–1788, November 2004.
  22. K. Wada, T. Shibata, T. Saito, K. Sakamoto, and K. Tanie, “Psychological and social effects of one year robot assisted activity on elderly people at a health service facility for the aged,” in Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2785–2790, April 2005. View at Publisher · View at Google Scholar · View at Scopus
  23. J. Pineau, M. Montemerlo, M. Pollack, N. Roy, and S. Thrun, “Towards robotic assistants in nursing homes: challenges and results,” Robotics and Autonomous Systems, vol. 42, no. 3-4, pp. 271–281, 2003. View at Publisher · View at Google Scholar · View at Scopus
  24. J. Fasola and M. J. Matarić, “Robot exercise instructor: a socially assistive robot system to monitor and encourage physical exercise for the elderly,” in Proceedings of the 19th IEEE International Workshop on Robot and Human Interactive Communication, Viareggio, Italy, 2010. View at Publisher · View at Google Scholar
  25. D. Feil-Seifer, K. Skinner, and M. J. Matarić, “Benchmarks for evaluating socially assistive robotics,” Interaction Studies, vol. 8, no. 3, pp. 423–439, 2007. View at Google Scholar · View at Scopus
  26. A. Tapus, C. Tapus, and M. J. Mataric, “User—robot personality matching and assistive robot behavior adaptation for post-stroke rehabilition,” Intelligent Service Robotics, vol. 1, pp. 169–183, 2008, Special issue on multidisciplinary collaboration for socially assistive robotics. View at Publisher · View at Google Scholar
  27. A. Panangadan, M. Matarić, and G. S. Sukhatme, “Tracking and modeling of human activity using laser rangefinders,” International Journal of Social Robotics, vol. 2, no. 1, pp. 95–107, 2010. View at Publisher · View at Google Scholar · View at Scopus
  28. C. Breazeal and B. Scassellati, “How to build robots that make friends and influence people,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '99), pp. 858–863, October 1999. View at Scopus
  29. M. Bateson, D. Nettle, and G. Roberts, “Cues of being watched enhance cooperation in a real-world setting,” Biology Letters, vol. 2, no. 3, pp. 412–414, 2006. View at Publisher · View at Google Scholar · View at Scopus
  30. T. C. Burnham and B. Hare, “Engineering human cooperation,” Human Nature, vol. 18, no. 2, pp. 88–108, 2007. View at Publisher · View at Google Scholar · View at Scopus
  31. K. J. Haley and D. M. T. Fessler, “Nobody's watching?” Evolution and Human Behavior, vol. 26, no. 3, pp. 245–256, 2005. View at Publisher · View at Google Scholar · View at Scopus
  32. K. F. MacDorman and H. Ishiguro, “The uncanny advantage of using androids in social and cognitive science research,” Interaction Studies, vol. 7, no. 3, pp. 297–337, 2006. View at Google Scholar
  33. K. F. MacDorman, T. Minato, M. Shimada, S. Itakura, S. Cowley, and H. Ishiguro, “Assessing human likeness by eye contact in an android testbed,” in Proceedings of the 27th Annual Meeting of the Cognitive Science Society, Stresa, Italy, 2005.
  34. K. Shinozawa, F. Naya, J. Yamato, and K. Kogure, “Differences in effect of robot and screen agent recommendations on human decision-making,” International Journal of Human Computer Studies, vol. 62, no. 2, pp. 267–279, 2005. View at Publisher · View at Google Scholar · View at Scopus
  35. C. D. Kidd and C. Breazeal, “Robots at home: understanding long-term human-robot interaction,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '08), pp. 3230–3235, Nice, France, September 2008. View at Publisher · View at Google Scholar · View at Scopus
  36. L. E. Sucar, R. Luis, R. Leder, J. Hernandez, and I. Sanchez, “Gesture therapy: a vision-based system for upper extremity stroke rehabilitation,” in Biomedical Engineering Systems and Technologies, A. Fred, F. Joaquim, and H. Gamboa, Eds., pp. 531–540, Springer, New York, NY, USA, 2009. View at Google Scholar
  37. M. B.-V. Kuren, “Robotic solutions in pediatric rehabilitation,” in Rehabilitation Robotics, pp. 1–12, I-Tech, Vienna, Austria, 2007. View at Google Scholar
  38. R. Colombo, F. Pisano, A. Mazzone et al., “Design strategies to improve patient motivation during robot-aided rehabilitation,” Journal of NeuroEngineering and Rehabilitation, vol. 4, no. 3, pp. 1–12, 2007. View at Publisher · View at Google Scholar · View at Scopus
  39. M. J. Matarić, J. Eriksson, D. J. Feil-Seifer, and C. J. Winstein, “Socially assistive robotics for post-stroke rehabilitation,” Journal of NeuroEngineering and Rehabilitation, vol. 4, no. 5, pp. 1–9, 2007. View at Publisher · View at Google Scholar · View at Scopus
  40. J. Fasola and M. J. Mataric, “Robot motivator: improving user performance on a physical/mental task,” in Proceedings of the 4th ACM/IEEE International Conference on Human-Robot Interaction, pp. 295–296, La Jolla, Calif, USA, 2009.
  41. P. A. Barnes, T. Spooner, J. L. Dhabolt, and J. Leighton, “Instructional gaming methods and apparatus,” Patent A1 20090176581, 2009. View at Google Scholar
  42. J. Shotton, A. Fitzgibbon, M. Cook et al., “Real-time human pose recognition in parts from a single depth image,” in Proceedings of the International Conference on Computer Vision and Pattern Recognition, June 2011.
  43. A. M. Okamura, M. J. Matarić, and H. I. Christensen, “Medical and health-care robotics,” IEEE Robotics and Automation Magazine, vol. 17, no. 3, Article ID 5569021, pp. 27–37, 2010. View at Publisher · View at Google Scholar · View at Scopus
  44. M. P. Cutchin, “The process of mediated aging-in-place: a theoretically and empirically based model,” Social Science and Medicine, vol. 57, no. 6, pp. 1077–1090, 2003. View at Publisher · View at Google Scholar · View at Scopus
  45. D. J. Feil-Seifer and M. J. Mataric, “Ethical principles for socially assistive robotics,” Robotics and Automation Magazine, vol. 18, no. 1, pp. 24–31, 2011, Special issue on roboethics. View at Publisher · View at Google Scholar
  46. H. Ishiguro, T. Ono, M. Imai, T. Maeda, T. Kanda, and R. Nakatsu, “Robovie: an interactive humanoid robot,” Industrial Robot, vol. 28, no. 6, pp. 498–503, 2001. View at Publisher · View at Google Scholar · View at Scopus
  47. K. F. MacDorman, K. Tatani, Y. Miyazaki, and M. Koeda, “Proto-symbol emergence,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1619–1625, November 2000. View at Scopus
  48. M. Turk and A. Pentland, “Eigenfaces for recognition,” Journal of Cognitive Neuroscience, vol. 3, no. 1, pp. 71–86, 1991. View at Google Scholar · View at Scopus
  49. C. Liu, “A Bayesian discriminating features method for face detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 6, pp. 725–740, 2003. View at Publisher · View at Google Scholar · View at Scopus
  50. A. Mohan, C. Papageorgiou, and T. Poggio, “Example-based object detection in images by components,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 4, pp. 349–361, 2001. View at Publisher · View at Google Scholar · View at Scopus
  51. P. Viola and M. Jones, “Rapid object detection using a boosted cascade of simple features,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 511–518, December 2001. View at Scopus
  52. R. Lienhart and J. Maydt, “An extended set of Haar-like features for rapid object detection,” in Proceedings of the IEEE International Conference on Image Processing (ICIP '02), pp. 900–903, September 2002. View at Scopus
  53. R. Lienhart, A. Kuranov, and V. Pisarevsky, “Empirical analysis of detection cascades of boosted classifiers for rapid object detection,” in Proceedings of the 25th DAGM Pattern Recognition Symposium, vol. 2781, pp. 297–304, Magdeburg, Germany, 2003.
  54. P. Brox, I. Baturone, S. Sánchez-Solano, J. Gutiérrez-Ríos, and F. Fernández-Hernández, “Fuzzy motion adaptive algorithm for video de-interlacing,” Lecture Notes in Computer Science, vol. 4252, pp. 363–370, 2006. View at Google Scholar
  55. AT&T Labs Inc. AT&T Labs Natural Voices Text-to-Speech Demo, 2010, http://www2.research.att.com/~ttsweb/tts/demo.php.
  56. P. Dourish, “What we talk about when we talk about context,” Personal and Ubiquitous Computing, vol. 8, no. 1, pp. 19–30, 2004. View at Google Scholar
  57. National Institute of Aging. Go4Life, 2010, http://go4life.niapublications.org.
  58. I. Ajzen and M. Fishbein, Understanding Attitudes and Predicting Social Behavior, Prentice-Hall, Englewood Cliffs, NJ, USA, 1980.
  59. I. Ajzen, “The theory of planned behavior,” Organizational Behavior and Human Decision Processes, vol. 50, no. 2, pp. 179–211, 1991. View at Google Scholar · View at Scopus
  60. H. Kharrazi, C. Watters, and S. Oore, “Improving behavioral stages in children by adaptive applications,” Journal on Information Technology in Healthcare, vol. 6, no. 1, pp. 322–326, 2008. View at Google Scholar
  61. H. Kharrazi, “Improving healthy behaviors in type 1 diabetic patients by interactive frameworks,” in Proceedings of the American Medical Informatics Association Symposium, vol. 2009, pp. 322–326, San Francisco, Calif, USA, 2009.
  62. H. Kharrazi and L. Vincz, “Using health information technology and behavior change model to increase exercise adherence in obesity,” in Proceedings of the AMA-IEEE Medical Technology Conference on Individualized Healthcare, Washington, DC, USA, 2010.
  63. V. Spruyt, A. Ledda, and S. Geerts, “Real-time multi-colourspace hand segmentation,” in Proceedings of the 17th International Conference on Image Processing (ICIP '10), pp. 3117–3120, Hong Kong, 2010. View at Publisher · View at Google Scholar