Standard

Tremor Eye Movements as an Objective Marker of Driver’s Fatigue. / Lyapunov, S. I.; Shoshina, I. I.; Lyapunov, I. S.

в: Human Physiology, Том 48, № 1, 02.2022, стр. 71-77.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Lyapunov, SI, Shoshina, II & Lyapunov, IS 2022, 'Tremor Eye Movements as an Objective Marker of Driver’s Fatigue', Human Physiology, Том. 48, № 1, стр. 71-77. https://doi.org/10.1134/s0362119722010091

APA

Lyapunov, S. I., Shoshina, I. I., & Lyapunov, I. S. (2022). Tremor Eye Movements as an Objective Marker of Driver’s Fatigue. Human Physiology, 48(1), 71-77. https://doi.org/10.1134/s0362119722010091

Vancouver

Lyapunov SI, Shoshina II, Lyapunov IS. Tremor Eye Movements as an Objective Marker of Driver’s Fatigue. Human Physiology. 2022 Февр.;48(1):71-77. https://doi.org/10.1134/s0362119722010091

Author

Lyapunov, S. I. ; Shoshina, I. I. ; Lyapunov, I. S. / Tremor Eye Movements as an Objective Marker of Driver’s Fatigue. в: Human Physiology. 2022 ; Том 48, № 1. стр. 71-77.

BibTeX

@article{72fce7d858164a018020a8c3bf07b573,
title = "Tremor Eye Movements as an Objective Marker of Driver{\textquoteright}s Fatigue",
abstract = "Abstract: Fatigue is a functional state characterized by a persistent decrease in performance. A system for recording the degree of driver fatigue based on the tremor modulation signal model is proposed. The amplitude and frequency of natural tremor oscillations of the eye are taken as an indicator of the degree of fatigue. It has been experimentally proven that tremor is an adequate marker of the condition of fatigue. The objectivity and effectiveness of the proposed method were evaluated in comparison with classical methods for assessing the functional state of the central nervous system—the simple visual-motor reaction and visual-motor coordination times. It was found that the probability of correct prediction of the condition of fatigue by measuring the parameters of natural tremor oscillations of the eye (amplitude and frequency) with the data of simple visual-motor response and visual-motor coordination task is 87.4 and 88.6%, respectively.",
keywords = "Attentional Network Task (ANT), Compensatory visual tracking task, drivers, eye movements, eye tremor, fatigue, Foveofugal Step-ramp Pursuit Tracking Task, functional state diagnostics, Hand eye coordination test, image analysis, ocular microtremor (OMT), Simple reaction time test, tremor modulation signal (TMS), visual-motor response",
author = "Lyapunov, {S. I.} and Shoshina, {I. I.} and Lyapunov, {I. S.}",
note = "Publisher Copyright: {\textcopyright} 2022, Pleiades Publishing, Inc.",
year = "2022",
month = feb,
doi = "10.1134/s0362119722010091",
language = "English",
volume = "48",
pages = "71--77",
journal = "Human Physiology",
issn = "0362-1197",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "1",

}

RIS

TY - JOUR

T1 - Tremor Eye Movements as an Objective Marker of Driver’s Fatigue

AU - Lyapunov, S. I.

AU - Shoshina, I. I.

AU - Lyapunov, I. S.

N1 - Publisher Copyright: © 2022, Pleiades Publishing, Inc.

PY - 2022/2

Y1 - 2022/2

N2 - Abstract: Fatigue is a functional state characterized by a persistent decrease in performance. A system for recording the degree of driver fatigue based on the tremor modulation signal model is proposed. The amplitude and frequency of natural tremor oscillations of the eye are taken as an indicator of the degree of fatigue. It has been experimentally proven that tremor is an adequate marker of the condition of fatigue. The objectivity and effectiveness of the proposed method were evaluated in comparison with classical methods for assessing the functional state of the central nervous system—the simple visual-motor reaction and visual-motor coordination times. It was found that the probability of correct prediction of the condition of fatigue by measuring the parameters of natural tremor oscillations of the eye (amplitude and frequency) with the data of simple visual-motor response and visual-motor coordination task is 87.4 and 88.6%, respectively.

AB - Abstract: Fatigue is a functional state characterized by a persistent decrease in performance. A system for recording the degree of driver fatigue based on the tremor modulation signal model is proposed. The amplitude and frequency of natural tremor oscillations of the eye are taken as an indicator of the degree of fatigue. It has been experimentally proven that tremor is an adequate marker of the condition of fatigue. The objectivity and effectiveness of the proposed method were evaluated in comparison with classical methods for assessing the functional state of the central nervous system—the simple visual-motor reaction and visual-motor coordination times. It was found that the probability of correct prediction of the condition of fatigue by measuring the parameters of natural tremor oscillations of the eye (amplitude and frequency) with the data of simple visual-motor response and visual-motor coordination task is 87.4 and 88.6%, respectively.

KW - Attentional Network Task (ANT)

KW - Compensatory visual tracking task

KW - drivers

KW - eye movements

KW - eye tremor

KW - fatigue

KW - Foveofugal Step-ramp Pursuit Tracking Task

KW - functional state diagnostics

KW - Hand eye coordination test

KW - image analysis

KW - ocular microtremor (OMT)

KW - Simple reaction time test

KW - tremor modulation signal (TMS)

KW - visual-motor response

UR - http://www.scopus.com/inward/record.url?scp=85126220874&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/60410d2a-05d6-3fec-aa62-d9adc1c8c305/

U2 - 10.1134/s0362119722010091

DO - 10.1134/s0362119722010091

M3 - Article

AN - SCOPUS:85126220874

VL - 48

SP - 71

EP - 77

JO - Human Physiology

JF - Human Physiology

SN - 0362-1197

IS - 1

ER -

ID: 93771001