Detecting Distraction in Drivers using Electroencephalogram (EEG) Signals

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Kumar, S. Pradeep and Selvaraj, Jerritta and Krishnakumar, R. and Sahayadhas, Arun (2021) Detecting Distraction in Drivers using Electroencephalogram (EEG) Signals. 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC). pp. 635-639.

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Official URL: https://doi.org/10.1109/ICCMC48092.2020.ICCMC-0001...

Abstract

Driver distraction is considered as major factors in most
of the traffic accidents. Driving errors may arise due to
the distraction of the drivers. The aim of this paper is to
analyze the EEG signals to detect distractive driving.
Data from 10 different subjects were obtained and
categorised into different frequency bands. Distractive
driving is related with Theta band, so the Theta
frequency band were decomposed using Discrete Wavelet
Transform (DWT) and 17 different features were

Item Type:	Article
Subjects:	Computer Science Engineering > Artificial Intelligence
Divisions:	Computer Science Engineering
Depositing User:	Mr IR Admin
Date Deposited:	14 Sep 2024 07:07
Last Modified:	14 Sep 2024 07:07
URI:	https://ir.vistas.ac.in/id/eprint/6042

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