TY - GEN
T1 - An attempt to predict drowsiness by Bayesian estimation
AU - Murata, Atsuo
AU - Matsuda, Yusuke
AU - Moriwaka, Makoto
AU - Hayami, Takehito
PY - 2011/1/1
Y1 - 2011/1/1
N2 - In this study, 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. 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, a method for predicting drowsiness by applying Bayesian estimation to physiological measurements was proposed. Bayesian estimation carries out a statistical inference using some kind of evidences or observations and calculating the probability that a hypothesis is true. An attempt was made to predicting drowsiness by applying Bayesian estimation to psychological parameters such as EEG-MPF, EEG-α/β, RRV3. As a result, it was suggested that the proposed method can predict the symptom of decreased consciousness (drowsiness).
AB - In this study, 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. 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, a method for predicting drowsiness by applying Bayesian estimation to physiological measurements was proposed. Bayesian estimation carries out a statistical inference using some kind of evidences or observations and calculating the probability that a hypothesis is true. An attempt was made to predicting drowsiness by applying Bayesian estimation to psychological parameters such as EEG-MPF, EEG-α/β, RRV3. As a result, it was suggested that the proposed method can predict the symptom of decreased consciousness (drowsiness).
KW - Bayesian estimation
KW - EEG
KW - HRV
KW - drowsiness
UR - http://www.scopus.com/inward/record.url?scp=81255167364&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=81255167364&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:81255167364
SN - 9784907764395
T3 - Proceedings of the SICE Annual Conference
SP - 58
EP - 63
BT - SICE 2011 - SICE Annual Conference 2011, Final Program and Abstracts
PB - Society of Instrument and Control Engineers (SICE)
T2 - 50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011
Y2 - 13 September 2011 through 18 September 2011
ER -