Measuring fatigue through heart rate variability and activity recognition: A scoping literature review of machine learning techniques

Karla Gonzalez; Farzan Sasangohar; Ranjana K. Mehta; Mark Lawley; Madhav Erraguntla

doi:10.1177/1541931213601918

Measuring fatigue through heart rate variability and activity recognition: A scoping literature review of machine learning techniques

Karla Gonzalez, Farzan Sasangohar, Ranjana K. Mehta, Mark Lawley, Madhav Erraguntla

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

17 Scopus citations

Abstract

A scoping literature review was conducted to summarize the current research trends in fatigue identification with applications to human activity recognition through the use of diverse commercially available accelerometers. This paper also provides a brief overview of heart rate variability and its effect on fatigue. The linkage between recognizing an individual's unique physical activities, and its possible feedback to manage fatigue levels were explored. Overall, triangulation of heart rate variability and accelerometer data show promise in identify chronic cognitive and physical fatigue levels.

Original language	English (US)
Title of host publication	Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017
Publisher	Human Factors an Ergonomics Society Inc.
Pages	1748-1752
Number of pages	5
ISBN (Electronic)	9780945289531
DOIs	https://doi.org/10.1177/1541931213601918
State	Published - 2017
Event	Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017 - Austin, United States Duration: Oct 9 2017 → Oct 13 2017

Publication series

Name	Proceedings of the Human Factors and Ergonomics Society
Volume	2017-October
ISSN (Print)	1071-1813

Other

Other	Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017
Country/Territory	United States
City	Austin
Period	10/9/17 → 10/13/17

ASJC Scopus subject areas

Human Factors and Ergonomics

Access to Document

10.1177/1541931213601918

Cite this

Gonzalez, K., Sasangohar, F., Mehta, R. K., Lawley, M., & Erraguntla, M. (2017). Measuring fatigue through heart rate variability and activity recognition: A scoping literature review of machine learning techniques. In Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017 (pp. 1748-1752). (Proceedings of the Human Factors and Ergonomics Society; Vol. 2017-October). Human Factors an Ergonomics Society Inc.. https://doi.org/10.1177/1541931213601918

Measuring fatigue through heart rate variability and activity recognition : A scoping literature review of machine learning techniques. / Gonzalez, Karla; Sasangohar, Farzan; Mehta, Ranjana K. et al.

Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017. Human Factors an Ergonomics Society Inc., 2017. p. 1748-1752 (Proceedings of the Human Factors and Ergonomics Society; Vol. 2017-October).

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

Gonzalez, K, Sasangohar, F, Mehta, RK, Lawley, M & Erraguntla, M 2017, Measuring fatigue through heart rate variability and activity recognition: A scoping literature review of machine learning techniques. in Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017. Proceedings of the Human Factors and Ergonomics Society, vol. 2017-October, Human Factors an Ergonomics Society Inc., pp. 1748-1752, Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017, Austin, United States, 10/9/17. https://doi.org/10.1177/1541931213601918

Gonzalez K, Sasangohar F, Mehta RK, Lawley M, Erraguntla M. Measuring fatigue through heart rate variability and activity recognition: A scoping literature review of machine learning techniques. In Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017. Human Factors an Ergonomics Society Inc. 2017. p. 1748-1752. (Proceedings of the Human Factors and Ergonomics Society). https://doi.org/10.1177/1541931213601918

Gonzalez, Karla ; Sasangohar, Farzan ; Mehta, Ranjana K. et al. / Measuring fatigue through heart rate variability and activity recognition : A scoping literature review of machine learning techniques. Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017. Human Factors an Ergonomics Society Inc., 2017. pp. 1748-1752 (Proceedings of the Human Factors and Ergonomics Society).

@inproceedings{18a70c41c1614a069f735a321907db75,

title = "Measuring fatigue through heart rate variability and activity recognition: A scoping literature review of machine learning techniques",

abstract = "A scoping literature review was conducted to summarize the current research trends in fatigue identification with applications to human activity recognition through the use of diverse commercially available accelerometers. This paper also provides a brief overview of heart rate variability and its effect on fatigue. The linkage between recognizing an individual's unique physical activities, and its possible feedback to manage fatigue levels were explored. Overall, triangulation of heart rate variability and accelerometer data show promise in identify chronic cognitive and physical fatigue levels.",

author = "Karla Gonzalez and Farzan Sasangohar and Mehta, {Ranjana K.} and Mark Lawley and Madhav Erraguntla",

note = "Publisher Copyright: Copyright 2017 by Human Factors and Ergonomics Society. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017 ; Conference date: 09-10-2017 Through 13-10-2017",

year = "2017",

doi = "10.1177/1541931213601918",

language = "English (US)",

series = "Proceedings of the Human Factors and Ergonomics Society",

publisher = "Human Factors an Ergonomics Society Inc.",

pages = "1748--1752",

booktitle = "Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017",

}

TY - GEN

T1 - Measuring fatigue through heart rate variability and activity recognition

T2 - Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017

AU - Gonzalez, Karla

AU - Sasangohar, Farzan

AU - Mehta, Ranjana K.

AU - Lawley, Mark

AU - Erraguntla, Madhav

PY - 2017

Y1 - 2017

N2 - A scoping literature review was conducted to summarize the current research trends in fatigue identification with applications to human activity recognition through the use of diverse commercially available accelerometers. This paper also provides a brief overview of heart rate variability and its effect on fatigue. The linkage between recognizing an individual's unique physical activities, and its possible feedback to manage fatigue levels were explored. Overall, triangulation of heart rate variability and accelerometer data show promise in identify chronic cognitive and physical fatigue levels.

AB - A scoping literature review was conducted to summarize the current research trends in fatigue identification with applications to human activity recognition through the use of diverse commercially available accelerometers. This paper also provides a brief overview of heart rate variability and its effect on fatigue. The linkage between recognizing an individual's unique physical activities, and its possible feedback to manage fatigue levels were explored. Overall, triangulation of heart rate variability and accelerometer data show promise in identify chronic cognitive and physical fatigue levels.

UR - http://www.scopus.com/inward/record.url?scp=85042481124&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85042481124&partnerID=8YFLogxK

U2 - 10.1177/1541931213601918

DO - 10.1177/1541931213601918

M3 - Conference contribution

AN - SCOPUS:85042481124

T3 - Proceedings of the Human Factors and Ergonomics Society

SP - 1748

EP - 1752

BT - Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017

PB - Human Factors an Ergonomics Society Inc.

Y2 - 9 October 2017 through 13 October 2017

ER -

Measuring fatigue through heart rate variability and activity recognition: A scoping literature review of machine learning techniques

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this