Current Result Document : 2 / 2
| 한글제목(Korean Title) |
Drowsiness Classification using Convolutional Neural Network based on Electroencephalography Signals |
| 영문제목(English Title) |
Drowsiness Classification using Convolutional Neural Network based on Electroencephalography Signals |
| 저자(Author) |
Seong-Hyun Yu
Hyeong-Yeong Park
Euijong Lee
Ji-Hoon Jeong
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| 원문수록처(Citation) |
VOL 29 NO. 02 PP. 0680 ~ 0680 (2022. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
ㆍ Goals
- Binary classification of drowsiness states and alert states using electroencephalogram(EEG) signals
ㆍ Motivation
- Detection drowsiness in diving environments was mostly achieved through visual technology-based cameras [1]
- The mental state of the general public can be detected based on neurophysiological signals
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| 키워드(Keyword) |
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| 파일첨부 |
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