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Sensor Data Management for Driver Monitoring System

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Internet of Vehicles - Safe and Intelligent Mobility (IOV 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9502))

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Abstract

Road accident becomes a threat to all drivers around the world. According to the study, fatigue or drowsiness is one of the causes to road accident. As the rapid development of the mobile devices and sensor networks, mobile based driver monitoring system has been widely proposed and discussed as an effort to reduce road accident rate around the world. Sensors such as EEG, temperature or respiration sensor are used to collect the signal from the driver to alarm the driver if drowsiness is likely to happen. However, the sensor data management of the collected data(signals) is not being paid enough attention. In this paper, we propose a sensor data management mechanism for the mobile based driver monitoring system to handle the data in a more efficient manner.

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (NRF-2014R1A1A2058695).

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Authors and Affiliations

  1. School of Computing, Soongsil University, Seoul, Korea

    Chee Een Yap

  2. School of Software, Soongsil University, Seoul, Korea

    Myung Ho Kim

Authors
  1. Chee Een Yap
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  2. Myung Ho Kim
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Corresponding author

Correspondence to Myung Ho Kim .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Chung Hua University, Hsinchu, Taiwan, Taiwan

    Ching-Hsien Hsu

  2. School of Software, Dalian University of Technology, Dalian, China

    Feng Xia

  3. School of Electronic Engineering, University of Electronic Science and Tec, Chengdu, Sichuan, China

    Xingang Liu

  4. Network Technology Institute, Beijing University of Posts & Telec, Beijing, China

    Shangguang Wang

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Yap, C.E., Kim, M.H. (2015). Sensor Data Management for Driver Monitoring System. In: Hsu, CH., Xia, F., Liu, X., Wang, S. (eds) Internet of Vehicles - Safe and Intelligent Mobility. IOV 2015. Lecture Notes in Computer Science(), vol 9502. Springer, Cham. https://doi.org/10.1007/978-3-319-27293-1_14

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  • DOI: https://doi.org/10.1007/978-3-319-27293-1_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27292-4

  • Online ISBN: 978-3-319-27293-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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