Physiological indicators based sleep onset prediction for the avoidance of driving accidents

Author

Damousis, I. ; Cester, I. ; Nikolaou, S. ; Tzovaras, D.

Author_Institution

Inf. & Telematics Inst., Thessaloniki

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

6699

Lastpage

6704

Abstract

This paper presents the work that has been carried out within the SENSATION Integrated Project [1] concerning the prediction of sleep onset for drivers aiming to provide an effective measure for sleep related accident prevention. Indicators that have been proven to be the most relevant to the physiological manifestation of hypovigilance were examined and exploited in order to develop a holistic physiological sleep predictor that fuses eyelid activity and EEG features. The proposed algorithms were tested using driving simulator data from 35 subjects and the accuracy of the system was measured.

Keywords

accident prevention; electroencephalography; eye; neurophysiology; sleep; EEG features; SENSATION Integrated Project; accident prevention; driving accident avoidance; eyelid activity; hypovigilance; physiological indicators; sleep onset prediction; Accidents; Biomedical monitoring; Brain modeling; Electroencephalography; Informatics; Roads; Sleep; Strips; System testing; Telematics; Accidents, Traffic; Algorithms; Automobile Driving; Blinking; Computer Simulation; Electroencephalography; Electrooculography; Eye Movements; Fuzzy Logic; Humans; Monitoring, Ambulatory; Sleep;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353898

Filename

4353898