TY - JOUR PY - 2008// TI - On-line automatic detection of driver drowsiness using a single electroencephalographic channel JO - Conference proceedings - IEEE engineering in medicine and biology society A1 - Picot, Antoine A1 - Charbonnier, Sylvie A1 - Caplier, Alice SP - 3864 EP - 3867 VL - 2008 IS - N2 - In this paper, an on-line drowsiness detection algorithm using a single electroencephalographic (EEG) channel is presented. This algorithm is based on a means comparison test to detect changes of the alpha relative power ([8-12]Hz band). The main advantage of the method proposed is that the detection threshold is completely independent of drivers and does not need to be tuned for each person. This algorithm, which works on-line, has been tested on a huge dataset representing 60 hours of driving and give good results with nearly 85% of good detections and 20% of false alarms.

Language: en

LA - en SN - 1557-170X UR - http://dx.doi.org/10.1109/IEMBS.2008.4650053 ID - ref1 ER -