EEG-based drowsiness estimation for safety driving using independent component analysis

Preventing accidents caused by drowsiness has become a major focus of active safety driving in recent years. It requires an optimal technique to continuously detect drivers' cognitive state related to abilities in perception, recognition, and vehicle control in (near-) real-time. The major chal...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on circuits and systems. I, Regular papers Jg. 52; H. 12; S. 2726 - 2738
Hauptverfasser:	Lin, Chin-Teng, Wu, Ruei-Cheng, Liang, Sheng-Fu, Chao, Wen-Hung, Chen, Yu-Jie, Jung, Tzyy-Ping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2005 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accidents Brain modeling Correlation coefficient drowsiness electroencephalogram Electroencephalography Independent component analysis independent component analysis (ICA) linear regression model Optimal control power spectrum Safety Spectrum analysis Studies Traffic accidents & safety Vehicle detection Vehicle driving Vehicle dynamics virtual reality (VR) Working environment noise
ISSN:	1549-8328, 1558-0806
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!