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EEG Based Smart Driving for Intelligent Accident Management

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Advances in Computer Science and Ubiquitous Computing (CUTE 2017, CSA 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 474))

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Abstract

Electroencephalography (EEG) is one way of conveying thoughts and emotions and can be usefully analyzed and acquired. It is also emerging as a means of connecting people and things after speech recognition technology. EEG technology is used in a variety of fields, mainly in health and medical applications. Currently, it is converged and applied to various industries such as information and communication equipment, aircraft, and clothing items according to convenience of people. In particular, this technology is used as a technique for safe driving of drivers, and if commercialized, life can be protected even in emergency situations. In this paper, we can measure the driver ‘s brain wave and then find out the driver’ s condition based on the EEG data. Also, in case of emergency, it is possible to respond quickly and effectively.

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Acknowledgement

This research was supported by the MSIP (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2014-0-00720-002) supervised by the IITP (Institute for Information & communications Technology Promotion)

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology (SeoulTech), Seoul, 01811, Republic of Korea

    Byung Wook Kwon & Jong Hyuk Park

Authors
  1. Byung Wook Kwon
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  2. Jong Hyuk Park
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Corresponding author

Correspondence to Jong Hyuk Park .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science and Technology, Seoul, Korea (Republic of)

    James J. Park

  2. Department of Business Science, University of Salerno, Salerno, Italy

    Vincenzo Loia

  3. Department of Multimedia Engineering, Dongguk University, Seoul, Soul-t’ukpyolsi, Korea (Republic of)

    Gangman Yi

  4. Department of Multimedia Engineering, Dongguk University, Seoul, Soul-t’ukpyolsi, Korea (Republic of)

    Yunsick Sung

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Kwon, B.W., Park, J.H. (2018). EEG Based Smart Driving for Intelligent Accident Management. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_152

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  • DOI: https://doi.org/10.1007/978-981-10-7605-3_152

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7604-6

  • Online ISBN: 978-981-10-7605-3

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