DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-7452

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
Issue
Volume-5,Issue-3  ( Mar, 2017 )
Paper Title
Smart System to Detect Drowsiness in Drivers
Author Name
Prajnyajit Mohanty, Rakesh Kumar Patnaik
Affilition
Electronics and Instrumentation department, National Institute Of Science and Technology, Palur Hills, Berhampur, Odisha, India
Pages
72-76
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
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