Advertisement

WPT: A Toolkit for Publishing a Web-Based Lifelog

  • Takuya Maekawa
  • Yasue Kishino
  • Yutaka Yanagisawa
  • Yasushi Sakurai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6967)

Abstract

This paper describes a toolkit for implementing lifelog applications that automatically generate web-based reports about daily lives from sensor data such as GPS data, acceleration data, and camera images that capture our daily activities. To design the toolkit, we collect example lifelog applications using a questionnaire survey where we ask participants what kinds of daily life data they want to record for later use and then clarify their characteristics. Based on the obtained information and our view, we realize an infrastructure that provides automatic report publishing and development support for generating reports from sensor data.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Brotherton, J.A., Abowd, G.D.: Lessons learned from eClass: Assessing automated capture and access in the classroom. ACM Transactions on Computer-Human Interaction 11(2), 121–155 (2004)CrossRefGoogle Scholar
  2. 2.
    Bush, V.: As we think. The Atlantic Monthly 176(1), 101–176 (1945)Google Scholar
  3. 3.
    Chen, H., Finin, T., Joshi, A.: An ontology for context-aware pervasive computing environments. In: IJCAI Workshop on Ontologies and Distributed Systems (2003)Google Scholar
  4. 4.
    Crossbow Technology, http://www.xbow.com/
  5. 5.
    De Silva, G.C., Yamasaki, T., Aizawa, K.: Evaluation of video summarization for a large number of cameras in ubiquitous home. In: ACM Multimedia 2005, pp. 820–828 (2005)Google Scholar
  6. 6.
    Dey, A.K., Abowd, G.D., Salber, D.: A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human–Computer Interaction 16(2), 97–166 (2001)CrossRefGoogle Scholar
  7. 7.
    Fogarty, J., Hudson, S.E.: Toolkit support for developing and deploying sensor-based statistical models of human situations. In: CHI 2007, pp. 135–144 (2007)Google Scholar
  8. 8.
    Gemmell, J., Bell, G., Lueder, R., Drucker, S., Wong, C.: MyLifeBits: Fulfilling the Memex vision. In: ACM Multimedia 2002, pp. 235–238 (2002)Google Scholar
  9. 9.
    Gu, T., Pung, H.K., Zhang, D.Q.: Toward an OSGi-based infrastructure for context-aware applications. IEEE Pervasive Computing 3(4), 66–74 (2004)CrossRefGoogle Scholar
  10. 10.
    Lamming, M., Flynn, M.: Forget-me-not: Intimate computing in support of human memory. In: FRIEND21: International Symposium on Next Generation Human Interface, pp. 125–128 (1994)Google Scholar
  11. 11.
    Maekawa, T., Kishino, Y., Sakurai, Y., Suyama, T.: Recognizing the use of portable electrical devices with hand-worn magnetic sensors. In: Lyons, K., Hightower, J., Huang, E.M. (eds.) Pervasive 2011. LNCS, vol. 6696, pp. 276–293. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  12. 12.
    Maekawa, T., Yanagisawa, Y., Kishino, Y., Ishiguro, K., Kamei, K., Sakurai, Y., Okadome, T.: Object-based activity recognition with heterogeneous sensors on wrist. In: Floréen, P., Krüger, A., Spasojevic, M. (eds.) Pervasive Computing. LNCS, vol. 6030, pp. 246–264. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  13. 13.
    Maekawa, T., Yanagisawa, Y., Kishino, Y., Kamei, K., Sakurai, Y., Okadome, T.: Object-blog system for environment-generated content. IEEE Pervasive Computing 7(4), 20–27 (2008)CrossRefGoogle Scholar
  14. 14.
    Matthews, T., Dey, A.K., Mankoff, J., Carter, S., Rattenbury, T.: A toolkit for managing user attention in peripheral displays. In: UIST 2004, pp. 247–256 (2004)Google Scholar
  15. 15.
    Tapia, E.M., Intille, S.S., Larson, K.: Activity recognition in the home using simple and ubiquitous sensors. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 158–175. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  16. 16.
    Truong, K.N., Abowd, G.D.: INCA: A software infrastructure to facilitate the construction and evolution of ubiquitous capture & access applications. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 140–157. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  17. 17.
    Truong, K.N., Huang, E.M., Abowd, G.D.: CAMP: A magnetic poetry interface for end-user programming of capture applications for the home. In: Davies, N., Mynatt, E.D., Siio, I. (eds.) UbiComp 2004. LNCS, vol. 3205, pp. 143–160. Springer, Heidelberg (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Takuya Maekawa
    • 1
  • Yasue Kishino
    • 1
  • Yutaka Yanagisawa
    • 1
  • Yasushi Sakurai
    • 1
  1. 1.Science LaboratoriesNTT CommunicationSeika-choJapan

Personalised recommendations