Skip to main content

Behavior Analysis for Elderly

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9277))

Abstract

Ubiquitous computing, new sensor technologies, and increasingly available and accessible algorithms for pattern recognition and machine learning enable automatic analysis and modeling of human behavior in many novel ways. In this introductory paper of the 6th International Workshop on Human Behavior Understanding (HBU’15), we seek to critically assess how HBU technology can be used for elderly. We describe and exemplify some of the challenges that come with the involvement of aging subjects, but we also point out to the great potential for expanding the use of ICT to create many applications to provide a better life for elderly.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   34.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   44.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    http://www.aal-europe.eu/.

  2. 2.

    The final report available from http://www.aal-europe.eu/wp-content/uploads/2015/02/AAL_JP_Interop_D5_Final_Report.pdf.

  3. 3.

    Internet-Connected Tea Kettle, http://www.mimamori.net/index.html.

References

  1. Agrawal, R., Srikant, R., et al.: Fast algorithms for mining association rules. In: Proceedings of the 20th International Conference Very Large Data Bases (VLDB), vol. 1215, pp. 487–499 (1994)

    Google Scholar 

  2. Alemdar, H., Ersoy, C.: Wireless sensor networks for healthcare: a survey. Comput. Netw. 54(15), 2688–2710 (2010)

    Article  Google Scholar 

  3. Bharucha, A.J., Anand, V., Forlizzi, J., Dew, M.A., Reynolds, C.F., Stevens, S., Wactlar, H.: Intelligent assistive technology applications to dementia care: current capabilities, limitations, and future challenges. Am. J. Geriatr. Psychiatry 17(2), 88–104 (2009)

    Article  Google Scholar 

  4. Boukhechba, M., Bouzouane, A., Bouchard, B., Gouin-Vallerand, C., Giroux, S.: Online prediction of people’s next point-of-interest: concept drift support. In: Salah, A.A., et al. (eds.) HBU 2015. LNCS, vol. 9277, pp. 97–116. Springer, Heidelberg (2015)

    Google Scholar 

  5. Broekens, J., Heerink, M., Rosendal, H.: Assistive social robots in elderly care: a review. Gerontechnology 8(2), 94–103 (2009)

    Article  Google Scholar 

  6. Brown, J.A.: Let’s play: understanding the role and meaning of digital games in the lives of older adults. In: Proceedings of the International Conference on the Foundations of Digital Games, pp. 273–275. ACM (2012)

    Google Scholar 

  7. Chaudhuri, S., Thompson, H., Demiris, G.: Fall detection devices and their use with older adults: a systematic review. J. Geriatr. Phys. Ther. 37(4), 178–196 (2014)

    Article  Google Scholar 

  8. Cook, D.J., Das, S.K.: How smart are our environments? an updated look at the state of the art. Pervasive Mobile Comput. 3(2), 53–73 (2007)

    Article  Google Scholar 

  9. Derungs, A., Seiter, J., Schuster-Amf, C.: Activity patterns in stroke patients - is there a trend in behaviour during rehabilitation? In: Salah, A.A., et al. (eds.) HBU 2015. LNCS, vol. 9277, pp. 146–159. Springer, Heidelberg (2015)

    Google Scholar 

  10. Eldib, M., Deboeverie, F., Philips, W., Aghajan, H.: Sleep analysis for elderly care using a low-resolution visual sensor network. In: In: Salah, A.A., et al. (eds.) HBU 2015. LNCS, vol. 9277, pp. 26–38. Springer, Heidelberg (2015)

    Google Scholar 

  11. Gerling, K., Livingston, I., Nacke, L., Mandryk, R.: Full-body motion-based game interaction for older adults. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1873–1882. ACM (2012)

    Google Scholar 

  12. Gerling, K.M., Schild, J., Masuch, M.: Exergame design for elderly users: the case study of silverbalance. In: Proceedings of the 7th International Conference on Advances in Computer Entertainment Technology, pp. 66–69. ACM (2010)

    Google Scholar 

  13. Görer, B., Salah, A.A., Akın, H.L.: A robotic fitness coach for the elderly. In: Augusto, J.C., Wichert, R., Collier, R., Keyson, D., Salah, A.A., Tan, A.-H. (eds.) AmI 2013. LNCS, vol. 8309, pp. 124–139. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  14. Heinrich, A., Geng, D., Znamenskiy, D., Vink, J., de Haan, G.: Robust and sensitive video motion detection for sleep analysis. IEEE J. Biomed. Health Inform. 18(3), 790–798 (2014)

    Article  Google Scholar 

  15. Hernández, N., Favela, J.: Estimating the perception of physical fatigue among older adults using mobile phones. In: In: Salah, A.A., et al. (eds.) HBU 2015. LNCS, vol. 9277, pp. 84–96. Springer, Heidelberg (2015)

    Google Scholar 

  16. Jaschinski, C., Ben Allouch, S.: Understanding the user’s acceptance of a sensor-based ambient assisted living application. In: In: Salah, A.A., et al. (eds.) HBU 2015. LNCS, vol. 9277, pp. 13–25. Springer, Heidelberg (2015)

    Google Scholar 

  17. Jorge, J.A.: Adaptive tools for the elderly: new devices to cope with age-induced cognitive disabilities. In: Proceedings of the 2001 EC/NSF Workshop on Universal Accessibility of Ubiquitous Computing: Providing for the Elderly, pp. 66–70. ACM (2001)

    Google Scholar 

  18. Kanis, M., Robben, S., Kröse, B.J.: How are you doing? enabling older adults to enrich sensor data with subjective input. In: In: Salah, A.A., et al. (eds.) HBU 2015. LNCS, vol. 9277, pp. 39–51. Springer, Heidelberg (2015)

    Google Scholar 

  19. Kim, E., Helal, S., Cook, D.: Human activity recognition and pattern discovery. IEEE Pervasive Comput. 9(1), 48–53 (2010)

    Article  Google Scholar 

  20. Lago, P., Jiménez-Guarín, C., Roncancio, C.: Contextualized behavior patterns for ambient assisted living. In: In: Salah, A.A., et al. (eds.) HBU 2015. LNCS, vol. 9277, pp. 132–145. Springer, Heidelberg (2015)

    Google Scholar 

  21. Larsen, L.H., Schou, L., Lund, H.H., Langberg, H.: The physical effect of exergames in healthy elderly - a systematic review. Games Health Res. Dev. Clin. Appl. 2(4), 205–212 (2013)

    Article  Google Scholar 

  22. Magnusson, M.S.: Discovering hidden time patterns in behavior: T-patterns and their detection. Behav. Res. Methods Instrum. Comput. 32(1), 93–110 (2000)

    Article  Google Scholar 

  23. Mooney, C., Roddick, J.: Sequential pattern mining - approaches and algorithms. ACM Comput. Surv. 45, 19 (2013)

    Article  MATH  Google Scholar 

  24. Moshnyaga, V., Osamu, T., Ryu, T., Hashimoto, K.: Identification of basic behavioral activities by heterogeneous sensors of in-home monitoring system. In: Salah, A.A., Kröse, B.J., Cook, D.J. (eds.) In: Salah, A.A., et al. (eds.) HBU 2015. LNCS, vol. 9277, pp. 160–174. Springer, Heidelberg (2015)

    Google Scholar 

  25. Mubashir, M., Shao, L., Seed, L.: A survey on fall detection: principles and approaches. Neurocomputing 100, 144–152 (2013)

    Article  Google Scholar 

  26. Osmani, V., Balasubramaniam, S., Botvich, D.: Human activity recognition in pervasive health-care: supporting efficient remote collaboration. J. Netw. Comput. Appl. 31(4), 628–655 (2008). http://www.sciencedirect.com/science/article/pii/S1084804507000719

    Article  Google Scholar 

  27. Pineau, J., Montemerlo, M., Pollack, M., Roy, N., Thrun, S.: Towards robotic assistants in nursing homes: challenges and results. Robot. Auton. Sys. 42(3), 271–281 (2003)

    Article  MATH  Google Scholar 

  28. Pollack, M.E.: Intelligent technology for an aging population: the use of ai to assist elders with cognitive impairment. AI Mag. 26(2), 9 (2005)

    Google Scholar 

  29. Ranjan, J., Whitehouse, K.: Rethinking the fusion of technology and clinical practices in functional behavior analysis for the elderly. In: In: Salah, A.A., et al. (eds.) HBU 2015. LNCS, vol. 9277, pp. 52–65. Springer, Heidelberg (2015)

    Google Scholar 

  30. Rego, P., Moreira, P.M., Reis, L.P.: Serious games for rehabilitation: a survey and a classification towards a taxonomy. In: 2010 5th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6. IEEE (2010)

    Google Scholar 

  31. Rice, M., Wan, M., Foo, M.H., Ng, J., Wai, Z., Kwok, J., Lee, S., Teo, L.: Evaluating gesture-based games with older adults on a large screen display. In: Proceedings of the 2011 ACM SIGGRAPH Symposium on Video Games, pp. 17–24. ACM (2011)

    Google Scholar 

  32. Salah, A.A., Lepri, B., Pianesi, F., Pentland, A.S.: Human behavior understanding for inducing behavioral change: application perspectives. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 1–15. Springer, Heidelberg (2011)

    Google Scholar 

  33. Salah, A.A., Pauwels, E., Tavenard, R., Gevers, T.: T-patterns revisited: mining for temporal patterns in sensor data. Sensors 10(8), 7496–7513 (2010)

    Article  Google Scholar 

  34. Schulz, R., Wahl, H.W., Matthews, J.T., Dabbs, A.D.V., Beach, S.R., Czaja, S.J.: Advancing the aging and technology agenda in gerontology. The Gerontologist p. gnu071 (2014)

    Google Scholar 

  35. Selwyn, N.: The information aged: a qualitative study of older adults’ use of information and communications technology. J. Aging Stud. 18(4), 369–384 (2004)

    Article  Google Scholar 

  36. Selwyn, N., Gorard, S., Furlong, J., Madden, L.: Older adults’ use of information and communications technology in everyday life. Ageing Soc. 23(05), 561–582 (2003)

    Article  Google Scholar 

  37. Shim, N., Baecker, R., Birnholtz, J., Moffatt, K.: Tabletalk poker: an online social gaming environment for seniors. In: Proceedings of the International Academic Conference on the Future of Game Design and Technology, pp. 98–104. ACM (2010)

    Google Scholar 

  38. Soto-Mendoza, V., Beltrán, J., Chávez, E., Hernández, J., García-Macías, J.A.: Abnormal behavioral patterns detection from activity records of institutionalized older adults. In: In: Salah, A.A., et al. (eds.) HBU 2015. LNCS, vol. 9277, pp. 119–131. Springer, Heidelberg (2015)

    Google Scholar 

  39. Sutton, C., McCallum, A.: An introduction to conditional random fields for relational learning. In: Introduction to Statistical Relational Learning, pp. 93–128 (2006)

    Google Scholar 

  40. Turner, L.D., Allen, S.M., Whitaker, R.M.: Push or delay? decomposing smartphone notification response behaviour. In: In: Salah, A.A., et al. (eds.) HBU 2015. LNCS, vol. 9277, pp. 69–83. Springer, Heidelberg (2015)

    Google Scholar 

  41. Varshney, U.: Pervasive healthcare and wireless health monitoring. Mobile Netw. Appl. 12(2–3), 113–127 (2007)

    Article  Google Scholar 

  42. Visser, T., Vastenburg, M.H., Keyson, D.V.: Designing to support social connectedness: the case of snowglobe. Int. J. Des. 5(3), 129–142 (2011)

    Google Scholar 

  43. White, H., McConnell, E., Clipp, E., Bynum, L., Teague, C., Navas, L., Craven, S., Halbrecht, H.: Surfing the net in later life: a review of the literature and pilot study of computer use and quality of life. J. Appl. Gerontol. 18(3), 358–378 (1999)

    Article  Google Scholar 

Download references

Acknowledgments

This publication was supported by the Dutch national program COMMIT, project VIEWW.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Albert Ali Salah .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Salah, A.A., Kröse, B.J.A., Cook, D.J. (2015). Behavior Analysis for Elderly. In: Salah, A., Kröse, B., Cook, D. (eds) Human Behavior Understanding. Lecture Notes in Computer Science(), vol 9277. Springer, Cham. https://doi.org/10.1007/978-3-319-24195-1_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-24195-1_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24194-4

  • Online ISBN: 978-3-319-24195-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics