TY - GEN
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
UR - https://www.scopus.com/pages/publications/85039426235
U2 - 10.1007/978-981-10-7605-3_152
DO - 10.1007/978-981-10-7605-3_152
M3 - Conference contribution
AN - SCOPUS:85039426235
SN - 9789811076046
T3 - Lecture Notes in Electrical Engineering
SP - 957
EP - 961
BT - Advances in Computer Science and Ubiquitous Computing - CSA-CUTE 17
A2 - Yi, Gangman
A2 - Sung, Yunsick
A2 - Park, James J.
A2 - Loia, Vincenzo
PB - Springer Verlag
T2 - International Conference on Computer Science and its Applications, CSA 2017
Y2 - 18 December 2017 through 20 December 2017
ER -
