An EEG predictor of driving fatigue - Details

Author：

Xiaoli, Xie (Xiaoli, Xie.) | Xiaoming, Liu (Xiaoming, Liu.) (Scholars：刘小明) | Jiangbi, Hu (Jiangbi, Hu.) (Scholars：胡江碧) | Xintao, Cao (Xintao, Cao.) | Weili, Wang (Weili, Wang.)

Indexed by：

EI Scopus

Abstract：

Driving　fatigue　is　one　of　the　main　causes　of　traffic　accidents.　Many　researchers　believe　that　electroencephalography　(EEG)　is　an　accurate　and　promising　method　to　detect　driving　fatigue.　Based　on　the　theories　of　biocybernetics,　this　article　developed　an　EEG-based　driving　fatigue　prediction　indicator,　and　the　process　of　calculating　it　was　detailed.　After　indoor-experimental　verification,　it　was　found　that　the　indicator　has　a　good　linear　correlation　with　spirit　response　speed.　The　results　have　implications　for　predicting　driving　fatigue　and　are　helpful　for　future　development　of　driving　fatigue　countermeasures.　©　2009　ASCE.

Keyword：

Electrophysiology Electroencephalography Biocybernetics

Author Community：

[ 1 ] [Xiaoli, Xie]Transportation Research Center, Beijing University of Technology, No. 100 Ping Le Yuan, Beijing, 100022, China
[ 2 ] [Xiaoming, Liu]Transportation Research Center, Beijing University of Technology, No. 100 Ping Le Yuan, Beijing, 100022, China
[ 3 ] [Jiangbi, Hu]Transportation Research Center, Beijing University of Technology, No. 100 Ping Le Yuan, Beijing, 100022, China
[ 4 ] [Xintao, Cao]Transportation Research Center, Beijing University of Technology, No. 100 Ping Le Yuan, Beijing, 100022, China
[ 5 ] [Weili, Wang]Transportation Research Center, Beijing University of Technology, No. 100 Ping Le Yuan, Beijing, 100022, China