International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Jul. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 136
Paper Published : 1737
No. of Authors : 4816
  Journal Paper


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


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