Skip to main content

Context Enriched Patterns of Behavior for Delivering Notifications in Ambient-Assisted Living

  • Conference paper
  • 1902 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8842))

Abstract

Ambient Assisted Living (AAL) refers to ambient intelligent environments where health and personal care is monitored to help to ensure elder’s health, safety, and well-being, detecting possible situations that should be watched over. To effectively reason about a current situation and determine its criticality, it should be compared to past patterns. Current systems that learn patterns do not take into account the context in which they occur and we believe adding contextual variables to the description of patterns could improve the reasoning about current situations. Moreover, it can help improve the notification process to dynamically select who and what should be notified, maintaining the privacy of the elder and avoiding spam. In this paper we detail our proposal for a system that adds context to behavior patterns in order to then create personalized messages to the different members of the network of care of an elder living alone.

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   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. European Commission. Ambient Assisted Living Joint Programme (2008), http://www.aal-europe.eu/

  2. Eltabakh, M.Y., Ouzzani, M., Khalil, M.A., Aref, W.G., Elmagarmid, A.: Incremental Mining for Frequent Patterns in Evolving Time Series Datatabases (2008), http://dx.doi.org/10.1.1.154.5991

  3. Ordóñez, F.J., Iglesias, J.A., de Toledo, P., Ledezma, A., Sanchis, A.: Online activity recognition using evolving classifiers. Expert Syst. Appl. Mar. 40(4):1248–1255 (2013)

    Google Scholar 

  4. Cugola, G., Margara, A.: Processing flows of information: From Data Stream to Complex Event Processing. ACM Comput. Surv. 44(3), 1–62 (2012)

    Google Scholar 

  5. Aztiria, A., Augusto, J.C., Basagoiti, R., Izaguirre, A., Cook, D.: Learning Frequent Behaviors of the Users in Intelligent Environments. IEEE Trans. Syst. Man, Cybern. Syst. 43(6), 1265–1278 (2013)

    Google Scholar 

  6. Aztiria, A., Izaguirre, A., Augusto, J.: Learning patterns in ambient intelligence environments: a survey. Artif. Intell. Rev. 34(1), 35–51 (2010)

    Article  Google Scholar 

  7. Mooney, C.H., Roddick, J.F.: Sequential Pattern Mining – Approaches and Algorithms. ACM Comput. Surv. 45(2) (2013)

    Google Scholar 

  8. Mallick, B., Garg, D., Grover, P.S.: Incremental mining of sequential patterns: Progress and challenges. Intell. Data Anal. 17, 507–530 (2013)

    Google Scholar 

  9. Huang, J., Tseng, C., Ou, J., Chen, M.: A General Model for Sequential Pattern Mining with a Progressive Database. IEEE Trans. Knowl. 20(9), 1153–1167 (2008)

    Article  Google Scholar 

  10. Mhatre, A., Verma, M., Toshniwal, D.: Extracting Sequential Patterns from Progressive Databases: A Weighted Approach. In: 2009 Int. Conf. Signal Process. Syst., pp. 788–792. IEEE (2009)

    Google Scholar 

  11. Aztiria, A., Augusto, J.C., Basagoiti, R., Izaguirre, A.: Accurate temporal relationships in sequences of user behaviours in intelligent environments. In: Augusto, J.C., Corchado, J.M., Novais, P., Analide, C. (eds.) ISAmI 2010. AISC, pp. 19–27. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  12. Iglesias, J. A., Angelov, P., Ledezma, A., Sanchis, A.: Creating Evolving User Behavior Profiles Automatically. IEEE Trans. Knowl. Data Eng. 24(5), 854–867 (2012)

    Article  Google Scholar 

  13. Etter, R., Costa, P.D., Broens, T.: A Rule-Based Approach Towards Context-Aware User Notification Services. In: 2006 ACS/IEEE Int. Conf. Pervasive Serv., pp. 281–284. IEEE (2006)

    Google Scholar 

  14. Barbieri, D.F., Braga, D., Ceri, S., Della Valle, E., Grossniklaus, M.: Incremental Reasoning on Streams and Rich Background Knowledge. In: Aroyo, L., Antoniou, G., Hyvönen, E., ten Teije, A., Stuckenschmidt, H., Cabral, L., Tudorache, T., et al. (eds.) ESWC 2010, Part I. LNCS, vol. 6088, pp. 1–15. Springer, Heidelberg (2010)

    Google Scholar 

  15. Nava-muñoz, S., Moran, A.L.: A Review of Notifications Systems in Elder Care Environments: Challenges and Opportunities. In: Cruz Cunha, M.M., Miranda, I., Gonçalves, P. (eds.) Handb. Res. ICTs Human-Centered Healthc. Soc. Care Serv., pp. 407–429 (2013)

    Google Scholar 

  16. Cook, D. J., Crandall, A. S., Thomas, B. L., Krishnan, N.: CASAS: A Smart Home in a Box. IEEE Comput. 46(7), 62–69 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lago, P. (2014). Context Enriched Patterns of Behavior for Delivering Notifications in Ambient-Assisted Living. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Workshops. OTM 2014. Lecture Notes in Computer Science, vol 8842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45550-0_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-45550-0_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45549-4

  • Online ISBN: 978-3-662-45550-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics