EEG based smart driving for intelligent accident management

Byung Wook Kwon; Jong Hyuk Park

doi:10.1007/978-981-10-7605-3_152

EEG based smart driving for intelligent accident management

Byung Wook Kwon
, Jong Hyuk Park

Dept. of Computer Science and Engineering

Seoul National University of Science and Technology (SNUST)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Advances in Computer Science and Ubiquitous Computing - CSA-CUTE 17
Editors	Gangman Yi, Yunsick Sung, James J. Park, Vincenzo Loia
Publisher	Springer Verlag
Pages	957-961
Number of pages	5
ISBN (Print)	9789811076046
DOIs	https://doi.org/10.1007/978-981-10-7605-3_152
State	Published - 2018
Event	International Conference on Computer Science and its Applications, CSA 2017 - Taichung, Taiwan, Province of China Duration: 18 Dec 2017 → 20 Dec 2017

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	474
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Computer Science and its Applications, CSA 2017
Country/Territory	Taiwan, Province of China
City	Taichung
Period	18/12/17 → 20/12/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Electroencephalography
Electronic control unit
Vehicle

Access to Document

10.1007/978-981-10-7605-3_152

Cite this

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title = "EEG based smart driving for intelligent accident management",

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 {\textquoteleft}s brain wave and then find out the driver{\textquoteright} s condition based on the EEG data. Also, in case of emergency, it is possible to respond quickly and effectively.",

keywords = "Electroencephalography, Electronic control unit, Vehicle",

author = "Kwon, \{Byung Wook\} and Park, \{Jong Hyuk\}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; International Conference on Computer Science and its Applications, CSA 2017 ; Conference date: 18-12-2017 Through 20-12-2017",

year = "2018",

doi = "10.1007/978-981-10-7605-3\_152",

language = "English",

isbn = "9789811076046",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "957--961",

editor = "Gangman Yi and Yunsick Sung and Park, \{James J.\} and Vincenzo Loia",

booktitle = "Advances in Computer Science and Ubiquitous Computing - CSA-CUTE 17",

}

Kwon, BW & Park, JH 2018, EEG based smart driving for intelligent accident management. in G Yi, Y Sung, JJ Park & V Loia (eds), Advances in Computer Science and Ubiquitous Computing - CSA-CUTE 17. Lecture Notes in Electrical Engineering, vol. 474, Springer Verlag, pp. 957-961, International Conference on Computer Science and its Applications, CSA 2017, Taichung, Taiwan, Province of China, 18/12/17. https://doi.org/10.1007/978-981-10-7605-3_152

EEG based smart driving for intelligent accident management. / Kwon, Byung Wook; Park, Jong Hyuk.
Advances in Computer Science and Ubiquitous Computing - CSA-CUTE 17. ed. / Gangman Yi; Yunsick Sung; James J. Park; Vincenzo Loia. Springer Verlag, 2018. p. 957-961 (Lecture Notes in Electrical Engineering; Vol. 474).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - EEG based smart driving for intelligent accident management

AU - Kwon, Byung Wook

AU - Park, Jong Hyuk

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2018.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Electroencephalography

KW - Electronic control unit

KW - Vehicle

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AN - SCOPUS:85039426235

SN - 9789811076046

T3 - Lecture Notes in Electrical Engineering

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BT - Advances in Computer Science and Ubiquitous Computing - CSA-CUTE 17

A2 - Yi, Gangman

A2 - Sung, Yunsick

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PB - Springer Verlag

T2 - International Conference on Computer Science and its Applications, CSA 2017

Y2 - 18 December 2017 through 20 December 2017

ER -

EEG based smart driving for intelligent accident management

Abstract

Publication series

Conference

UN SDGs

Keywords

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