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Sensor Data Management for Driver Monitoring System

  • Chee Een Yap
  • Myung Ho KimEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9502)

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.

Keywords

Sensor data management Driver monitoring Invertible bloom filter 

Notes

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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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.School of ComputingSoongsil UniversitySeoulKorea
  2. 2.School of SoftwareSoongsil UniversitySeoulKorea

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