TY - GEN
T1 - Prediction of drowsy driving using behavioral measures of drivers - Change of neck bending angle and sitting pressure distribution
AU - Murata, Atsuo
AU - Koriyama, Taiga
AU - Endoh, Takuya
AU - Hayami, Takehito
PY - 2013/7/15
Y1 - 2013/7/15
N2 - Recently, in Japan, the percentage of the death toll in traffic accidents due to drowsy driving is the most dominant in all death tolls in traffic accidents. Therefore, it is essential for automotive manufacturers to develop a warning system of drowsy driving. A lot of studies are conducted to prevent traffic accident due to drowsy driving, and make an attempt to assess drowsiness by physiological measures such as EEG. However, it is difficult to use such equipment for predicting drowsiness, because it is difficult to equip an automotive cockpit with such equipment due to expensiveness and measurement noise. As more convenient measure used to predict drowsiness, it was examined whether the neck bending angle and the sitting pressure distribution could be used to discriminate the arousal level. The effectiveness of these convenient measures was experimentally assessed. In order to prevent traffic accidents due to drowsy driving, an attempt was made to predict drowsiness (low arousal state) using the change of neck bending angle and sitting pressure distribution. As a result, these measures were found to be useful for evaluating arousal level and predicting arousal level in advance.
AB - Recently, in Japan, the percentage of the death toll in traffic accidents due to drowsy driving is the most dominant in all death tolls in traffic accidents. Therefore, it is essential for automotive manufacturers to develop a warning system of drowsy driving. A lot of studies are conducted to prevent traffic accident due to drowsy driving, and make an attempt to assess drowsiness by physiological measures such as EEG. However, it is difficult to use such equipment for predicting drowsiness, because it is difficult to equip an automotive cockpit with such equipment due to expensiveness and measurement noise. As more convenient measure used to predict drowsiness, it was examined whether the neck bending angle and the sitting pressure distribution could be used to discriminate the arousal level. The effectiveness of these convenient measures was experimentally assessed. In order to prevent traffic accidents due to drowsy driving, an attempt was made to predict drowsiness (low arousal state) using the change of neck bending angle and sitting pressure distribution. As a result, these measures were found to be useful for evaluating arousal level and predicting arousal level in advance.
KW - COP (Center of Pressure)
KW - ITS
KW - neck bending angle
KW - prediction of drowsiness
KW - sitting pressure distribution
UR - http://www.scopus.com/inward/record.url?scp=84879894105&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84879894105&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39173-6_10
DO - 10.1007/978-3-642-39173-6_10
M3 - Conference contribution
AN - SCOPUS:84879894105
SN - 9783642391729
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 78
EP - 87
BT - Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management
T2 - 4th Int. Conf. on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management: Healthcare and Safety of the Environment and Transport, DHM 2013, Held as Part of 15th Int. Conf. Human-Computer Interaction, HCI 2013
Y2 - 21 July 2013 through 26 July 2013
ER -
