Measuring Fatigue through Heart Rate Variability and Activity Recognition: A Scoping Literature Review of Machine Learning Techniques Conference Paper

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 individuals 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.

authors

• Erraguntla, Madhav
• Lawley, Mark
• Mehta, Ranjana
• Sasangohar, Farzan

published proceedings

• Proceedings of the Human Factors and Ergonomics Society Annual Meeting

author list (cited authors)

• Gonzalez, K., Sasangohar, F., Mehta, R. K., Lawley, M., & Erraguntla, M.

citation count

• 14

complete list of authors

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

publication date

• September 2017

publisher

• SAGE Publications  Publisher

published in

• Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting Human Factors and Ergonomics Society. Annual Meeting  Journal

keywords

• Behavioral And Social Science
• Cardiovascular

Digital Object Identifier (DOI)

• 10.1177/1541931213601918

International Standard Book Number (ISBN) 13

• 9780945289531

start page

• 1748

end page

• 1752

volume

• 61

issue

• 1

URL

• http://dx.doi.org/10.1177/1541931213601918