An Experimental Study Using EEG to Detect Driver Drowsiness Northeastern University

Format:

Conference/Event

Author/Creator:

Leng, Hongjie, author.

Conference Name:

Commercial Vehicle Engineering Congress & Exhibition (2008-10-07 : Chicago, Illinois, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2008

Summary:

Drowsy driving is a serious issue in modern transportation. Our review of current ways to detect driver drowsiness revealed that electroencephalography (EEG) has the potential to achieve excellent performance in driver drowsiness recognition. This paper presents an experimental study for finding EEG features that are sensitive to a driver's drowsiness, yet robust to noise signals. We recorded participants' EEGs in an alert state and a drowsy state for a driving task performed in a driving simulator. Twelve EEG features were analyzed for their power of distinguishing the alert state from the drowsy state. As a conclusion, specific EEG features can be used to detect drivers' drowsiness. The classification power of the EEG features depends on the scalp locations where the EEG is measured

Notes:

Vendor supplied data

Publisher Number:

2008-01-2693

Access Restriction:

Restricted for use by site license