@inproceedings{d3a09dace776439ba278caa14f9d984f,
title = "A simple fatigue condition detection method by using heart rate variability analysis",
abstract = "The traffic accident statistics show that fatigue (drowsiness) and drunk driving are the major causes of traffic accidents. Therefore, it is important to detect and prevent driving in fatigue condition. The conventional fatigue detection technologies use methods that detect a driver{\textquoteright}s drowsiness from the direction of the face, the eye closing speed, etc., using cameras and various senses. Such technologies, however, are not only expensive but also have positional detection limitations as cameras and sensors are used, thereby restricting the driver{\textquoteright}s behavior. In this study, a simple method of detecting fatigue condition based on HRV (Heart Rate Variability) data is presented. The proposed method can greatly reduce the cost of drowsiness prevention system for safe driving.",
keywords = "Drowsiness analysis, Fatigue, HRV, PPG",
author = "Choi, {U. Seok} and Kim, {Kyoung Ju} and Lee, {Sang Seo} and Kim, {Kyoung Sup} and Juntae Kim",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 4th International Conference on Ubiquitous Computing Application and Wireless Sensor Network, UCAWSN 2015 ; Conference date: 08-07-2015 Through 10-07-2015",
year = "2016",
doi = "10.1007/978-981-10-0068-3_27",
language = "English",
isbn = "9789811000676",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "203--208",
editor = "Hong Shen and Young-Sik Jeong and Gangman Yi and Park, {James J.}",
booktitle = "Advances in Parallel and Distributed Computing and Ubiquitous Services, UCAWSN and PDCAT 2015",
address = "Germany",
}
