Azim Eskandarian - Great Falls VA, US Ali Mortazavi - Walnut Creek CA, US
International Classification:
G08B 23/00
US Classification:
340575, 340576
Abstract:
A drowsiness detection system and method uses Empirical Mode Decomposition (EMD) signal processing to detect whether a vehicle driver is drowsy. The system uses a decomposed component of the steering wheel signal to extract specific features representing the steering control degradation phases. The system classifies the measured features into alert or drowsy state. The detection system is independent of the road geometry and automatically compensates steering control performance variability between drivers. The system is accurate in detecting the drowsy periods and drowsy-related lane departures. The detection system is unobtrusive and can be applied on-line.
Youtube
Azim Eskandarian
81 iranian traditional music (sonnati)
Category:
Music
Uploaded:
31 Jan, 2007
Duration:
4m 27s
Step inside the new lab of Azim Eskandarian
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Professor Azim Eskandarian
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