A simple fatigue condition detection method by using heart rate variability analysis

U. Seok Choi; Kyoung Ju Kim; Sang Seo Lee; Kyoung Sup Kim; Juntae Kim

doi:10.1007/978-981-10-0068-3_27

A simple fatigue condition detection method by using heart rate variability analysis

U. Seok Choi
, Kyoung Ju Kim
, Sang Seo Lee
, Kyoung Sup Kim
, Juntae Kim

Department of Computer Science and Artificial Intelligence

Dongguk University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

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’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’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.

Original language	English
Title of host publication	Advances in Parallel and Distributed Computing and Ubiquitous Services, UCAWSN and PDCAT 2015
Editors	Hong Shen, Young-Sik Jeong, Gangman Yi, James J. Park
Publisher	Springer Verlag
Pages	203-208
Number of pages	6
ISBN (Print)	9789811000676
DOIs	https://doi.org/10.1007/978-981-10-0068-3_27
State	Published - 2016
Event	4th International Conference on Ubiquitous Computing Application and Wireless Sensor Network, UCAWSN 2015 - Jeju, Korea, Republic of Duration: 8 Jul 2015 → 10 Jul 2015

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	368
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	4th International Conference on Ubiquitous Computing Application and Wireless Sensor Network, UCAWSN 2015
Country/Territory	Korea, Republic of
City	Jeju
Period	8/07/15 → 10/07/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Drowsiness analysis
Fatigue
HRV
PPG

Access to Document

10.1007/978-981-10-0068-3_27

Cite this

Choi, U. S., Kim, K. J., Lee, S. S., Kim, K. S., & Kim, J. (2016). A simple fatigue condition detection method by using heart rate variability analysis. In H. Shen, Y.-S. Jeong, G. Yi, & J. J. Park (Eds.), Advances in Parallel and Distributed Computing and Ubiquitous Services, UCAWSN and PDCAT 2015 (pp. 203-208). (Lecture Notes in Electrical Engineering; Vol. 368). Springer Verlag. https://doi.org/10.1007/978-981-10-0068-3_27

Choi, U. Seok ; Kim, Kyoung Ju ; Lee, Sang Seo et al. / A simple fatigue condition detection method by using heart rate variability analysis. Advances in Parallel and Distributed Computing and Ubiquitous Services, UCAWSN and PDCAT 2015. editor / Hong Shen ; Young-Sik Jeong ; Gangman Yi ; James J. Park. Springer Verlag, 2016. pp. 203-208 (Lecture Notes in Electrical Engineering).

@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",

}

Choi, US, Kim, KJ, Lee, SS, Kim, KS & Kim, J 2016, A simple fatigue condition detection method by using heart rate variability analysis. in H Shen, Y-S Jeong, G Yi & JJ Park (eds), Advances in Parallel and Distributed Computing and Ubiquitous Services, UCAWSN and PDCAT 2015. Lecture Notes in Electrical Engineering, vol. 368, Springer Verlag, pp. 203-208, 4th International Conference on Ubiquitous Computing Application and Wireless Sensor Network, UCAWSN 2015, Jeju, Korea, Republic of, 8/07/15. https://doi.org/10.1007/978-981-10-0068-3_27

A simple fatigue condition detection method by using heart rate variability analysis. / Choi, U. Seok; Kim, Kyoung Ju; Lee, Sang Seo et al.
Advances in Parallel and Distributed Computing and Ubiquitous Services, UCAWSN and PDCAT 2015. ed. / Hong Shen; Young-Sik Jeong; Gangman Yi; James J. Park. Springer Verlag, 2016. p. 203-208 (Lecture Notes in Electrical Engineering; Vol. 368).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A simple fatigue condition detection method by using heart rate variability analysis

AU - Choi, U. Seok

AU - Kim, Kyoung Ju

AU - Lee, Sang Seo

AU - Kim, Kyoung Sup

AU - Kim, Juntae

N1 - Publisher Copyright: © Springer Science+Business Media Singapore 2016.

PY - 2016

Y1 - 2016

N2 - 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’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’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.

AB - 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’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’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.

KW - Drowsiness analysis

KW - Fatigue

KW - HRV

KW - PPG

UR - https://www.scopus.com/pages/publications/84958054735

U2 - 10.1007/978-981-10-0068-3_27

DO - 10.1007/978-981-10-0068-3_27

M3 - Conference contribution

AN - SCOPUS:84958054735

SN - 9789811000676

T3 - Lecture Notes in Electrical Engineering

SP - 203

EP - 208

BT - Advances in Parallel and Distributed Computing and Ubiquitous Services, UCAWSN and PDCAT 2015

A2 - Shen, Hong

A2 - Jeong, Young-Sik

A2 - Yi, Gangman

A2 - Park, James J.

PB - Springer Verlag

T2 - 4th International Conference on Ubiquitous Computing Application and Wireless Sensor Network, UCAWSN 2015

Y2 - 8 July 2015 through 10 July 2015

ER -

Choi US, Kim KJ, Lee SS, Kim KS, Kim J. A simple fatigue condition detection method by using heart rate variability analysis. In Shen H, Jeong YS, Yi G, Park JJ, editors, Advances in Parallel and Distributed Computing and Ubiquitous Services, UCAWSN and PDCAT 2015. Springer Verlag. 2016. p. 203-208. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-10-0068-3_27

A simple fatigue condition detection method by using heart rate variability analysis

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this