@inproceedings{5e24cda503cd4daaa1efa794846ecaa7,
title = "ADHD Detection from Driving Patterns",
abstract = "People with Attention Deficit Hyperactivity Disorder (ADHD) have been reported to be involved in more crash accidents and near-crash incidents. In this paper, we suggest that driving patterns may be used to detect the existence of ADHD. We analyzed driving behavior and phone usage during driving, as obtained during a naturalistic driving study. Our preliminary results show that ∼88% of ADHD-drivers can be detected by their driving pattern, such as extreme events during driving, speed and phone usage.",
keywords = "ADHD Diagnosis, Data mining, Driving",
author = "Lihi Dery and Oren Musicant",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 ; Conference date: 12-12-2018 Through 14-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "https://doi.org/10.1109/ICSEE.2018.8646013",
language = "الإنجليزيّة",
series = "2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018",
address = "الولايات المتّحدة",
}