Detecting Soldiers' Fatigue Using Eye-Tracking Glasses: Practical Field Applications and Research Opportunities

被引:10
作者
Schweizer, Theresa [1 ]
Wyss, Thomas [1 ]
Gilgen-Ammann, Rahel [1 ]
机构
[1] Swiss Fed Inst Sport Magglingen SFISM, Monitoring, CH-2532 Macolin, Switzerland
关键词
DRIVER SLEEPINESS DETECTION; BLINK RATE; EOG; INDICATORS; PATTERNS; VELOCITY; INDEX; EEG;
D O I
10.1093/milmed/usab509
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Objectively determining soldiers' fatigue levels could help prevent injuries or accidents resulting from inattention or decreased alertness. Eye-tracking technologies, such as optical eye tracking (OET) and electrooculography (EOG), are often used to monitor fatigue. Eyeblinks-especially blink frequency and blink duration-are known as easily observable and valid biomarkers of fatigue. Currently, various eye trackers (i.e., eye-tracking glasses) are available on the market using either OET or EOG technologies. These wearable eye trackers offer several advantages, including unobtrusive functionality, practicality, and low costs. However, several challenges and limitations must be considered when implementing these technologies in the field to monitor fatigue levels. This review investigates the feasibility of eye tracking in the field focusing on the practical applications in military operational environments. Materials and Method This paper summarizes the existing literature about eyeblink dynamics and available wearable eye-tracking technologies, exposing challenges and limitations, as well as discussing practical recommendations on how to improve the feasibility of eye tracking in the field. Results So far, no eye-tracking glasses can be recommended for use in a demanding work environment. First, eyeblink dynamics are influenced by multiple factors; therefore, environments, situations, and individual behavior must be taken into account. Second, the glasses' placement, sunlight, facial or body movements, vibrations, and sweat can drastically decrease measurement accuracy. The placement of the eye cameras for the OET and the placement of the electrodes for the EOG must be chosen consciously, the sampling rate must be minimal 200 Hz, and software and hardware must be robust to resist any factors influencing eye tracking. Conclusion Monitoring physiological and psychological readiness of soldiers, as well as other civil professionals that face higher risks when their attention is impaired or reduced, is necessary. However, improvements to eye-tracking devices' hardware, calibration method, sampling rate, and algorithm are needed in order to accurately monitor fatigue levels in the field.
引用
收藏
页码:E1330 / E1337
页数:8
相关论文
共 75 条
  • [1] Abusharha AA, 2017, CLIN OPTOM, V9, P133, DOI 10.2147/OPTO.S142718
  • [2] Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data
    Ahn, Sangtae
    Nguyen, Thien
    Jang, Hyojung
    Kim, Jae G.
    Jun, Sung C.
    [J]. FRONTIERS IN HUMAN NEUROSCIENCE, 2016, 10
  • [3] Real-Time Eyeblink Detector and Eye State Classifier for Virtual Reality (VR) Headsets (Head-Mounted Displays, HMDs)
    Alsaeedi, Nassr
    Wloka, Dieter
    [J]. SENSORS, 2019, 19 (05)
  • [4] Andersson R, 2010, J EYE MOVEMENT RES, V3
  • [5] Argus Science LLC, ETVISION SPEC
  • [6] Barbara N., 2018, P 32 INT BCS HUM COM
  • [7] Automatic driver sleepiness detection using EEG, EOG and contextual information
    Barua, Shaibal
    Ahmed, Mobyen Uddin
    Ahlstrom, Christer
    Begum, Shahina
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2019, 115 : 121 - 135
  • [8] Analysis of blink rate patterns in normal subjects
    Bentivoglio, AR
    Bressman, SB
    Cassetta, E
    Carretta, D
    Tonali, P
    Albanese, A
    [J]. MOVEMENT DISORDERS, 1997, 12 (06) : 1028 - 1034
  • [9] 24-Gaze-Point Calibration Method for Improving the Precision of AC-EOG Gaze Estimation
    bin Suhaimi, Muhammad Syaiful Amri
    Matsushita, Kojiro
    Sasaki, Minoru
    Njeri, Waweru
    [J]. SENSORS, 2019, 19 (17)
  • [10] Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
    Borghini, Gianluca
    Astolfi, Laura
    Vecchiato, Giovanni
    Mattia, Donatella
    Babiloni, Fabio
    [J]. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 2014, 44 : 58 - 75