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This paper deals with an alternative method in contrast to common classifiers that use very complex methods such as statistical pattern recognition, fuzzy system and neural networks for determining sleep-wake states from the electrooculogram signals (EOG). The method involves a straight forward EOG based signal processing and feature extraction algorithm based on Lissajous-like plots. This novel method...
Driver drowsiness is one of the major causes of road accident. Various driver drowsiness detection systems have been designed to detect and warn the driver of impending drowsiness. Most available prototype and ongoing research have focused on video-based eye tracking system, which demands high computing power due to real time video processing. In our research, the use of electrooculogram (EOG) as...
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