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Distracted Driving Research Paper

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Driver distraction is one of the primary factors of accidents, followed by drunk driving and speeding. It has become a major concern in safety and health measures taken by National Highway Traffic Safety Administration. The integration of information and communication technology has led mobile phones to constitute a major part of cognitive distraction, in association with visual, acoustic and manual distractions. Our aim is to utilize the capabilities of these mobile phones to identify a distracted driver's behavior by analyzing his/her neurological response from the Electroencephalograms or brain signals in various multitasking scenarios while driving. A 14 electrodes headset was used to record the brain signals while driving in the pilot …show more content…
We detected significant changes in the time-frequency spectrum of the EEG signals during distracted driving compared to the normal driving. We overcame one of the biggest challenges in EEG analysis - reducing the number of electrodes by isolating one electrode (FC5) from 14 electrode locations to identify certain distractions. Our machine learning methods achieved a mean accuracy (averaged over the subjects and tasks) of 91.54\% $\pm$ 5.23 to detect a distracted driving event. Identifying the type of distraction for a driver can be very difficult because of the overlap in the brain activations of the neurological mechanisms. However, we achieved a reasonable mean accuracy of 76.99\% $\pm$ 8.63 to distinguish between the five distractions cases in our study (read, text, call, and snapshot) using a single electrode. A distraction metric was also calculated to rank the severity of a distraction task. Lastly, an assistive real-time distraction alert system was developed using an android application based on the communication protocol between the EEG device and a mobile

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