Paper Title :Smart System to Detect Drowsiness in Drivers
Author :Prajnyajit Mohanty, Rakesh Kumar Patnaik
Article Citation :Prajnyajit Mohanty ,Rakesh Kumar Patnaik ,
(2017 ) " Smart System to Detect Drowsiness in Drivers " ,
International Journal of Electrical, Electronics and Data Communication (IJEEDC) ,
pp. 72-76,
Volume-5,Issue-3
Abstract : Drowsiness in drivers is considered as a major issue during in this current decade. Around 50% of road accidents
are happening during sleepy or drowsy state of the driver. Conventionally breath analyzer was used to detect weather a
driver is drunk or not but certainly use of smell attenuator and ingredients can avoid the alcohol smell which results an
inaccurate output. In this work the drowsiness is checked from Electroencephalogram signal of a person and ultimately
provides a better accuracy in measurement. Most of the simulation work is done using LabVIEW software and Arduino
UNO.
Keywords- EEG, SFE, Biomedical,LabVIEW, Alcohol, DAQ
Type : Research paper
Published : Volume-5,Issue-3
DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-7452
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Copyright: © Institute of Research and Journals
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Published on 2017-06-07 |
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