EEG Electrode Locations and their Signal Sensitivities in Driver Drowsiness Measurement(<Special Issue>Biosensors: Data Acquisition, Processing and Control)
スポンサーリンク
概要
- 論文の詳細を見る
Drivers' drowsiness is one of the main contributing factors in fatal collisions. Early detection of drivers' drowsiness accurately will have a high potential to improve traffic safety. Electroencephalography (EEG), known to reflect the brain activity, has the potential of being an effective indicator of drowsiness. This paper presents an experimental study on the sensitivity of EEG signals to drowsiness in driving applications and on the influence of the probe or scalp location for the EEG signal acquisition. The study recorded participants' EEGs in alert states or drowsy states for a driving task. Features of EEG such as Theta wave, Alpha wave, Beta wave, and Gamma wave were extracted from the EEGs and then analyzed for their power of discriminating the alert state and drowsy state. The study concluded that (1) these features of EEG can be used to find a drowsy state and (2) the location of the scalp will significantly affect the measurement accuracy.
- バイオメディカル・ファジィ・システム学会の論文
著者
-
Leng H.
Mechanical & Industrial Engineering Department College Of Engineering Northeastern University
-
Lin Y.
Mechanical & Industrial Engineering Department, College of Engineering, Northeastern University
-
Mourant R.
Mechanical & Industrial Engineering Department, College of Engineering, Northeastern University
-
Mourant R.
Mechanical & Industrial Engineering Department College Of Engineering Northeastern University