Abstract
EEG (EEG-MPF, EEG-α/β), heart rate variability (RRV3), tracking error and subjective rating of fatigue (drowsiness) while performing a simulated driving task were measured to predict drowsiness on the basis of Bayesian estimation method. The relation between these measurements and drowsiness was analyzed. As a result, EEG-MPF tended to decrease with the increase of drowsiness. It tended that EEG-α/β, RRV3 and tracking error increased with the increase of drowsiness. Then, we have proposed a method that can predict drowsiness by applying Bayesian estimation method to physiological measurements such as EEG-MPF, EEG-α/β, RRV3. Bayesian estimation carries out a statistical inference using some kind of evidences or observations and calculating the probability that a hypothesis is true. As a result, we confirmed that the proposed method could to some extent predict the symptom of decreased consciousness (drowsiness).
| Original language | English |
|---|---|
| Title of host publication | Advances in Human Aspects of Road and Rail Transportation |
| Publisher | CRC Press |
| Pages | 663-672 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781439871249 |
| ISBN (Print) | 9781439871232 |
| DOIs | |
| Publication status | Published - Jan 1 2012 |
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Keywords
- Bayesian estimation
- Drowsiness
- EEG
- HRV
ASJC Scopus subject areas
- Engineering(all)
Cite this
An attempt to predict drowsiness by Bayesian estimation. / Murata, Atsuo; Hayami, Takehito; Matsuda, Yusuke; Moriwaka, Makoto.
Advances in Human Aspects of Road and Rail Transportation. CRC Press, 2012. p. 663-672.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - An attempt to predict drowsiness by Bayesian estimation
AU - Murata, Atsuo
AU - Hayami, Takehito
AU - Matsuda, Yusuke
AU - Moriwaka, Makoto
PY - 2012/1/1
Y1 - 2012/1/1
N2 - EEG (EEG-MPF, EEG-α/β), heart rate variability (RRV3), tracking error and subjective rating of fatigue (drowsiness) while performing a simulated driving task were measured to predict drowsiness on the basis of Bayesian estimation method. The relation between these measurements and drowsiness was analyzed. As a result, EEG-MPF tended to decrease with the increase of drowsiness. It tended that EEG-α/β, RRV3 and tracking error increased with the increase of drowsiness. Then, we have proposed a method that can predict drowsiness by applying Bayesian estimation method to physiological measurements such as EEG-MPF, EEG-α/β, RRV3. Bayesian estimation carries out a statistical inference using some kind of evidences or observations and calculating the probability that a hypothesis is true. As a result, we confirmed that the proposed method could to some extent predict the symptom of decreased consciousness (drowsiness).
AB - EEG (EEG-MPF, EEG-α/β), heart rate variability (RRV3), tracking error and subjective rating of fatigue (drowsiness) while performing a simulated driving task were measured to predict drowsiness on the basis of Bayesian estimation method. The relation between these measurements and drowsiness was analyzed. As a result, EEG-MPF tended to decrease with the increase of drowsiness. It tended that EEG-α/β, RRV3 and tracking error increased with the increase of drowsiness. Then, we have proposed a method that can predict drowsiness by applying Bayesian estimation method to physiological measurements such as EEG-MPF, EEG-α/β, RRV3. Bayesian estimation carries out a statistical inference using some kind of evidences or observations and calculating the probability that a hypothesis is true. As a result, we confirmed that the proposed method could to some extent predict the symptom of decreased consciousness (drowsiness).
KW - Bayesian estimation
KW - Drowsiness
KW - EEG
KW - HRV
UR - http://www.scopus.com/inward/record.url?scp=85055160002&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055160002&partnerID=8YFLogxK
U2 - 10.1201/b12320
DO - 10.1201/b12320
M3 - Chapter
AN - SCOPUS:85055160002
SN - 9781439871232
SP - 663
EP - 672
BT - Advances in Human Aspects of Road and Rail Transportation
PB - CRC Press
ER -