Paper Title
Warning System For Drivers According to Attention and Meditation Status Using Brain Computer Interface
Abstract
It is observed that the traffic accidents are mostly sourced from the drivers and its one of the main reasons is the
lack of attention. Distracted drivers can't observe the traffic flow and traffic accidents occur as a result thereof. Brainwaves
produce weak electrical signals that can be measured from the skull. Electroencephalography is a system that measures the
activity of brainwaves using an electrical method. The Brain Computer Interface is a system that converts
electrophysiological actions or metabolic rate to signals to be interpreted by a device. In the last decades, brain signals could
be measured with systems requiring high costs, but nowadays, many EEG devices are available for personal use. These EEG
devices and systems have their signal transformation methods. In this paper, a mobile system design that detects the
distractions of drivers that are the major factor in traffic accidents via EEG signals is proposed. This system provides the
necessary warnings to the driver. With the proposed system, it is aimed to measure and analyze the attention and meditation
status via brain signals of the drivers. In case of the drivers' attention has been dispersed, it is aimed to provide the audio
alerts to the drivers. It is proposed to use NeuroSkyMindwave Mobile as EEG device because of the wireless and easy to use
options.
Keywords— Brain Computer Interface, Electroencephalography, Mobile Applications, Traffic, Drivers.
Author - Nilay Yildirim, Asaf Varol
Published : Volume-3,Issue-9 ( Sep, 2016 )
DOIONLINE Number - IJAECS-IRAJ-DOIONLINE-5845
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Published on 2016-11-01 |
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