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Hierarchical structured data logging system for effective lifelog management in ubiquitous environment

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Abstract

The researches for collecting personal daily behaviors and providing lifelog services with them have been recently increasing. Recent advances in mobile devices and sensor technologies have motivated to collect a huge amount of personal lifelog data in real time. With the rapid growth of the need for the research, there is a coming need for the effective lifelog management system which collects time-series big lifelog data sent from sensing devices and extracts major activities through processing them. For the effective lifelog management, the lifelog data can be processed in separated computing resources depending on the size and level of data. In this paper, we propose hierarchical structured data logging to support lifelog based personal services and to reduce the processing complexity and storage cost. First, we present the architecture of personal lifelog management system. With the system we present hierarchical lifelog data logging to optimally utilize computing and storage resources. Then we describe cost analysis and performance comparison for demonstrating the efficacy of our proposed system. Finally, as an initial step for experiments in our research, we describe experimental results of recognizing physical activities and extracting lifelog data which indicate major activities from them.

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Acknowledgments

This research is supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF- 2012R1A1A2A10041537).

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Authors and Affiliations

  1. Department of Computer Engineering, Graduate School of Ajou University, Suwon, Korea

    Minkyung Kim

  2. Ubiquitous Convergence Research Institute, Ajou University, Suwon, Korea

    Dong-Wook Lee

  3. Department of Knowledge Information Engineering, Graduate School of Ajou University, Suwon, Korea

    Kangseok Kim

  4. Department of Information and Computer Engineering, Ajou University, Suwon, Korea

    Jai-Hoon Kim

Authors
  1. Minkyung Kim
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  2. Dong-Wook Lee
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  3. Kangseok Kim
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  4. Jai-Hoon Kim
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Correspondence to Jai-Hoon Kim.

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Kim, M., Lee, DW., Kim, K. et al. Hierarchical structured data logging system for effective lifelog management in ubiquitous environment. Multimed Tools Appl 74, 3561–3577 (2015). https://doi.org/10.1007/s11042-013-1671-x

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  • DOI: https://doi.org/10.1007/s11042-013-1671-x

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