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Petri Net-Based Episode Detection and Story Generation from Ubiquitous Life Log

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Ubiquitous Intelligence and Computing (UIC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5061))

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Abstract

As mobile devices improve their performance in ubiquitous spaces, they have a variety of applications with more information. Active exploration follows for collecting and utilizing the information accumulated in ubiquitous environment. If user information in mobile devices can be summarized in a more intuitive and interesting form, like cartoon, it can help to share his experience with other people, and recall his meaningful memory. In this paper, we propose a method that organizes a story and generates cartoons using the information collected in ubiquitous environment. We generate cartoons with Petri net-based method, which describes causal relationship between experienced events and the precondition of events. Mobile information used in the experiment is collected from two female undergraduate students for two weeks. We confirm the potential of the proposed method for ambient intelligence through the analysis of the results.

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Authors and Affiliations

  1. Dept. of Computer Science, Yonsei University, 262 Seongsanno, Seodaemun-gu, Seoul, 120-749, Korea

    Young-Seol Lee & Sung-Bae Cho

Authors
  1. Young-Seol Lee
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  2. Sung-Bae Cho
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Editor information

Frode Eika Sandnes Yan Zhang Chunming Rong Laurence T. Yang Jianhua Ma

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© 2008 Springer-Verlag Berlin Heidelberg

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Lee, YS., Cho, SB. (2008). Petri Net-Based Episode Detection and Story Generation from Ubiquitous Life Log. In: Sandnes, F.E., Zhang, Y., Rong, C., Yang, L.T., Ma, J. (eds) Ubiquitous Intelligence and Computing. UIC 2008. Lecture Notes in Computer Science, vol 5061. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69293-5_42

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  • DOI: https://doi.org/10.1007/978-3-540-69293-5_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69292-8

  • Online ISBN: 978-3-540-69293-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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